RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Job Description Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! We are looking for you to join our team as a Modeling, Simulation & Analysis (MS&A) Systems Engineer based out of Woodland Hills, CA. As a Modeling, Simulation & Analysis (MS&A) Systems Engineer at Northrop Grumman you will have a challenging and rewarding opportunity to be a part of our Enterprise-wide digital transformation. Through the use of Model-based Engineering, DevSecOps and Agile practices we continue to evolve how we deliver critical national defense products and capabilities for the warfighter. Our success is grounded in our ability to embrace change, move quickly and continuously drive innovation. The successful candidate will be collaborative, open, transparent, and team-oriented with a focus on team empowerment & shared responsibility, flexibility, continuous learning, and a culture of automation. What You'll get to Do: In this role, you will work with Chief Mission Architect and peer MS&A Systems Engineers in collaborative small team environments to conduct research and analysis, develop models and simulations, and develop and implement algorithms. Roles & Responsibilities: Design and develop complex models and simulations for inertial navigation systems to predict system performance and support design decisions. Conduct detailed analysis of system performance using simulation tools to identify potential improvements and ensure system requirements are met. Develop and implement algorithms for inertial navigation systems, ensuring they meet performance and reliability standards. Analyze simulation data to validate models and algorithms and provide insights into system behavior under various conditions. Collaborate with cross-functional teams to integrate models and simulations into larger system architectures and participate in system testing and validation. Prepare technical documentation and reports to communicate findings, methodologies, and recommendations to stakeholders. Stay updated with the latest advancements in modeling and simulation technologies and apply them to improve existing systems. Work closely with software, hardware, and systems engineering teams to ensure alignment and integration of models with overall system design. This position in contingent on the successful transfer of a us security clearance This position may be filled as a Principal Modeling, Simulation and Analysis Systems Engineer or a Senior Principal Modeling, Simulation, and Analysis Engineer Basic Qualifications for a Principal Modeling, Simulation and Analysis Systems Engineer: BS degree in a STEM discipline and 5 years of related professional/military experience in Systems Engineering, OR a MS degree and 3 years OR a Ph.D. and 1 year Proven experience in modeling, simulation, and analysis, preferably in the aerospace or defense industry. Proficiency in simulation tools such as MATLAB, Simulink, or similar software. Experience with C/C++ or Python for algorithm development is a plus. Strong analytical and problem-solving skills with the ability to interpret complex data and develop actionable insights. Excellent written and verbal communication skills to effectively convey technical information to non-technical stakeholders. Ability to work collaboratively in a team environment and contribute to cross-functional projects. High level of attention to detail and accuracy in work, with a focus on quality and reliability. Ability to adapt to changing project requirements and work in a fast-paced environment. Active DoD Secret Clearance. Ability to work onsite full-time in Woodland Hills, California. Basic Qualifications for a Senior Principal Modeling, Simulation and Analysis Systems Engineer: BS degree in a STEM discipline and 8 years of related professional/military experience in Systems Engineering, OR a MS degree and 6 years OR a Ph.D. and 4 years Proven experience in modeling, simulation, and analysis, preferably in the aerospace or defense industry. Proficiency in simulation tools such as MATLAB, Simulink, or similar software. Experience with C/C++ or Python for algorithm development is a plus. Strong analytical and problem-solving skills with the ability to interpret complex data and develop actionable insights. Excellent written and verbal communication skills to effectively convey technical information to non-technical stakeholders. Ability to work collaboratively in a team environment and contribute to cross-functional projects. High level of attention to detail and accuracy in work, with a focus on quality and reliability. Ability to adapt to changing project requirements and work in a fast-paced environment. Active DoD Secret Clearance. Ability to work onsite full-time in Woodland Hills, California. Preferred Qualifications: Experience in inertial navigation systems Familiarity with AGILE, MBSE, and/or system architecture. Experience with version control tools (Bitbucket, GitHub, Gitlab, etc.) Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
04/05/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Job Description Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! We are looking for you to join our team as a Modeling, Simulation & Analysis (MS&A) Systems Engineer based out of Woodland Hills, CA. As a Modeling, Simulation & Analysis (MS&A) Systems Engineer at Northrop Grumman you will have a challenging and rewarding opportunity to be a part of our Enterprise-wide digital transformation. Through the use of Model-based Engineering, DevSecOps and Agile practices we continue to evolve how we deliver critical national defense products and capabilities for the warfighter. Our success is grounded in our ability to embrace change, move quickly and continuously drive innovation. The successful candidate will be collaborative, open, transparent, and team-oriented with a focus on team empowerment & shared responsibility, flexibility, continuous learning, and a culture of automation. What You'll get to Do: In this role, you will work with Chief Mission Architect and peer MS&A Systems Engineers in collaborative small team environments to conduct research and analysis, develop models and simulations, and develop and implement algorithms. Roles & Responsibilities: Design and develop complex models and simulations for inertial navigation systems to predict system performance and support design decisions. Conduct detailed analysis of system performance using simulation tools to identify potential improvements and ensure system requirements are met. Develop and implement algorithms for inertial navigation systems, ensuring they meet performance and reliability standards. Analyze simulation data to validate models and algorithms and provide insights into system behavior under various conditions. Collaborate with cross-functional teams to integrate models and simulations into larger system architectures and participate in system testing and validation. Prepare technical documentation and reports to communicate findings, methodologies, and recommendations to stakeholders. Stay updated with the latest advancements in modeling and simulation technologies and apply them to improve existing systems. Work closely with software, hardware, and systems engineering teams to ensure alignment and integration of models with overall system design. This position in contingent on the successful transfer of a us security clearance This position may be filled as a Principal Modeling, Simulation and Analysis Systems Engineer or a Senior Principal Modeling, Simulation, and Analysis Engineer Basic Qualifications for a Principal Modeling, Simulation and Analysis Systems Engineer: BS degree in a STEM discipline and 5 years of related professional/military experience in Systems Engineering, OR a MS degree and 3 years OR a Ph.D. and 1 year Proven experience in modeling, simulation, and analysis, preferably in the aerospace or defense industry. Proficiency in simulation tools such as MATLAB, Simulink, or similar software. Experience with C/C++ or Python for algorithm development is a plus. Strong analytical and problem-solving skills with the ability to interpret complex data and develop actionable insights. Excellent written and verbal communication skills to effectively convey technical information to non-technical stakeholders. Ability to work collaboratively in a team environment and contribute to cross-functional projects. High level of attention to detail and accuracy in work, with a focus on quality and reliability. Ability to adapt to changing project requirements and work in a fast-paced environment. Active DoD Secret Clearance. Ability to work onsite full-time in Woodland Hills, California. Basic Qualifications for a Senior Principal Modeling, Simulation and Analysis Systems Engineer: BS degree in a STEM discipline and 8 years of related professional/military experience in Systems Engineering, OR a MS degree and 6 years OR a Ph.D. and 4 years Proven experience in modeling, simulation, and analysis, preferably in the aerospace or defense industry. Proficiency in simulation tools such as MATLAB, Simulink, or similar software. Experience with C/C++ or Python for algorithm development is a plus. Strong analytical and problem-solving skills with the ability to interpret complex data and develop actionable insights. Excellent written and verbal communication skills to effectively convey technical information to non-technical stakeholders. Ability to work collaboratively in a team environment and contribute to cross-functional projects. High level of attention to detail and accuracy in work, with a focus on quality and reliability. Ability to adapt to changing project requirements and work in a fast-paced environment. Active DoD Secret Clearance. Ability to work onsite full-time in Woodland Hills, California. Preferred Qualifications: Experience in inertial navigation systems Familiarity with AGILE, MBSE, and/or system architecture. Experience with version control tools (Bitbucket, GitHub, Gitlab, etc.) Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators, who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought-leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. Networking Technology Professionals, We Want You! The Northrop Grumman Classified Solutions team is seeking a highly experienced Senior Network Administrator to join its dynamic team of technical professionals. The qualified applicant will become part of Northrop Grumman's Classified Solutions support team and can support the organization in Redondo Beach , CA . Note: Due to the classified nature of the work being performed, this position does not offer any virtual or telecommute working options. Applicants are encouraged to apply, only if they are willing to work on-site. Responsibilities will include but not be limited to the following: Maintain smooth operation of classified networks - LAN/WAN environments. Plan, design, configure, and install network hardware in support of customer requirements. Maintain technical expertise in all areas of networks and computer hardware / software interconnection, as well as interfaces, including routers, multiplexers, firewalls, switches, gateways, etc. Propose solutions to management to ensure all communications requirements are based on future needs and current usage, configuring such solutions to optimize cost savings . Ensure all communication requirements (based on future needs and current usage) are configured to optimize cost savings. Create and ensure that appropriate network documentation exists, including operational instructions. Install, configure and Cisco routers, switches, and Palo Alto firewalls. Install, configure and maintain Cisco Call Manager voip systems. Provide regular monitoring, and network analysis, regarding short and long-range planning for in-house systems. May coordinate third-party maintenance for network equipment. Design networks, or portions of networks, including the selection of hardware and software packages. Provide incident and service request support in accordance with enterprise SLAs. May coordinate third-party maintenance for network equipment. Represent the organization in providing solutions to difficult technical issues associated with specific projects. The successful applicant will demonstrate the ability to work in a team environment with engineering users, other network administrators, systems administrators, and computer/facility organizations. The ability to multi-task and good communication skills, both verbal and written, are required. Additional duties will include (but not limited to): Plan, manage and implement complex network designs in support of customer requirements. Develop technical solutions to complex problems which require the regular use of ingenuity and creativity. Support network teams in project designs to clarify project requirements, provide design solutions, in accordance with standards. Perform troubleshooting analysis of network infrastructure and associated systems. Document network hardware and software technology components. Install and configure routers, switches and firewalls. (Cisco/Palo Alto) Implement and troubleshoot LAN technologies such as VLANs, trunking (port tagging), spanning-tree and protocols. Provide third-level support and troubleshooting of network problems. On occasion may provide after-hours and weekend support. Work is performed without appreciable direction. Exercises considerable latitude in determining technical objectives of assignment. Completed work is reviewed from a relatively long- term perspective, for desired results. Implement and troubleshoot WAN technologies such as EIGRP, BGP, OSPF, and telco circuits (T1, T3, OC3) Interface regularly with customers and manage customer installation timelines and deliverables to help facilitate successful deployments. Manage timely resolution of all critical and/or complex problems meeting SLA requirements Experience with HAIPE/TACLANE and other military COMSEC/CRYPTO equipment and procedures. Experience in the use of network analysis tools (i.e. WireShark, SolarWinds, Opnet, etc.) Experience with Microsoft Office, Visio, Project, PowerPoint and Excel is required Lift equipment weighing up to 40 pounds as needed Ability to work after hours, and weekends as needed Basic Qualifications: Master's Degree with 6 years of experience; OR a Bachelor's Degree with 8 years of experience; OR an Associate's Degree with 10 years of experience; OR a High School Diploma (or equivalent) with 12 years of IT experience is required Must have a DOD 8570 IAT level 2 baseline certification (example: Security+ CE) Candidates must have a currentand fully adjudicated DOD Top Secret level security clearance (at a minimum) in order to be considered Candidates must have the ability to obtain, and maintain, a Top Secret/SCI level security clearance as a condition of employment Candidates must have the ability to obtain, and maintain, access to Special Programs as a condition of employment Experience designing and maintaining LAN & WAN based networks, managing routing protocols on large LAN environments, and experience with Cisco hardware (routers, switches, and firewalls) Preferred Qualifications: Bachelor's degree Network Engineering Active Top Secret/SCI, Polygraph, or SAP/SAR access would be nice to have Network+ certification and/or either a CCNP or a CCIE certification Network design, analysis, and administration of routers, switches, hubs, and firewalls Experience in the use of network analysis tools (i.e. WireShark, SolarWinds, Opnet, etc.) would be nice to have Experience with configuring TACLANES would be ideal Previous experience troubleshooting network procedures and best practices; experience with network challenges associated with systems integration, including COTS integration, capacity analysis and system architecture design Demonstrated leadership skills, or previous management of small teams, would be helpful We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. Our Employee Resource Groups (ERGs) offer opportunities to be a friend, be active, be a volunteer, be a leader, be recognized, and to be yourself. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us! Primary Level Salary Range: $120,900.00 - $181,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status . click apply for full job details
04/02/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators, who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought-leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. Networking Technology Professionals, We Want You! The Northrop Grumman Classified Solutions team is seeking a highly experienced Senior Network Administrator to join its dynamic team of technical professionals. The qualified applicant will become part of Northrop Grumman's Classified Solutions support team and can support the organization in Redondo Beach , CA . Note: Due to the classified nature of the work being performed, this position does not offer any virtual or telecommute working options. Applicants are encouraged to apply, only if they are willing to work on-site. Responsibilities will include but not be limited to the following: Maintain smooth operation of classified networks - LAN/WAN environments. Plan, design, configure, and install network hardware in support of customer requirements. Maintain technical expertise in all areas of networks and computer hardware / software interconnection, as well as interfaces, including routers, multiplexers, firewalls, switches, gateways, etc. Propose solutions to management to ensure all communications requirements are based on future needs and current usage, configuring such solutions to optimize cost savings . Ensure all communication requirements (based on future needs and current usage) are configured to optimize cost savings. Create and ensure that appropriate network documentation exists, including operational instructions. Install, configure and Cisco routers, switches, and Palo Alto firewalls. Install, configure and maintain Cisco Call Manager voip systems. Provide regular monitoring, and network analysis, regarding short and long-range planning for in-house systems. May coordinate third-party maintenance for network equipment. Design networks, or portions of networks, including the selection of hardware and software packages. Provide incident and service request support in accordance with enterprise SLAs. May coordinate third-party maintenance for network equipment. Represent the organization in providing solutions to difficult technical issues associated with specific projects. The successful applicant will demonstrate the ability to work in a team environment with engineering users, other network administrators, systems administrators, and computer/facility organizations. The ability to multi-task and good communication skills, both verbal and written, are required. Additional duties will include (but not limited to): Plan, manage and implement complex network designs in support of customer requirements. Develop technical solutions to complex problems which require the regular use of ingenuity and creativity. Support network teams in project designs to clarify project requirements, provide design solutions, in accordance with standards. Perform troubleshooting analysis of network infrastructure and associated systems. Document network hardware and software technology components. Install and configure routers, switches and firewalls. (Cisco/Palo Alto) Implement and troubleshoot LAN technologies such as VLANs, trunking (port tagging), spanning-tree and protocols. Provide third-level support and troubleshooting of network problems. On occasion may provide after-hours and weekend support. Work is performed without appreciable direction. Exercises considerable latitude in determining technical objectives of assignment. Completed work is reviewed from a relatively long- term perspective, for desired results. Implement and troubleshoot WAN technologies such as EIGRP, BGP, OSPF, and telco circuits (T1, T3, OC3) Interface regularly with customers and manage customer installation timelines and deliverables to help facilitate successful deployments. Manage timely resolution of all critical and/or complex problems meeting SLA requirements Experience with HAIPE/TACLANE and other military COMSEC/CRYPTO equipment and procedures. Experience in the use of network analysis tools (i.e. WireShark, SolarWinds, Opnet, etc.) Experience with Microsoft Office, Visio, Project, PowerPoint and Excel is required Lift equipment weighing up to 40 pounds as needed Ability to work after hours, and weekends as needed Basic Qualifications: Master's Degree with 6 years of experience; OR a Bachelor's Degree with 8 years of experience; OR an Associate's Degree with 10 years of experience; OR a High School Diploma (or equivalent) with 12 years of IT experience is required Must have a DOD 8570 IAT level 2 baseline certification (example: Security+ CE) Candidates must have a currentand fully adjudicated DOD Top Secret level security clearance (at a minimum) in order to be considered Candidates must have the ability to obtain, and maintain, a Top Secret/SCI level security clearance as a condition of employment Candidates must have the ability to obtain, and maintain, access to Special Programs as a condition of employment Experience designing and maintaining LAN & WAN based networks, managing routing protocols on large LAN environments, and experience with Cisco hardware (routers, switches, and firewalls) Preferred Qualifications: Bachelor's degree Network Engineering Active Top Secret/SCI, Polygraph, or SAP/SAR access would be nice to have Network+ certification and/or either a CCNP or a CCIE certification Network design, analysis, and administration of routers, switches, hubs, and firewalls Experience in the use of network analysis tools (i.e. WireShark, SolarWinds, Opnet, etc.) would be nice to have Experience with configuring TACLANES would be ideal Previous experience troubleshooting network procedures and best practices; experience with network challenges associated with systems integration, including COTS integration, capacity analysis and system architecture design Demonstrated leadership skills, or previous management of small teams, would be helpful We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. Our Employee Resource Groups (ERGs) offer opportunities to be a friend, be active, be a volunteer, be a leader, be recognized, and to be yourself. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us! Primary Level Salary Range: $120,900.00 - $181,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status . click apply for full job details
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators, who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought-leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. Networking Technology Professionals, We Want You! The Northrop Grumman Classified Solutions team is seeking a highly experienced Senior Network Administrator to join its dynamic team of technical professionals. The qualified applicant will become part of Northrop Grumman's Classified Solutions support team and can support the organization in Redondo Beach , CA . Note: Due to the classified nature of the work being performed, this position does not offer any virtual or telecommute working options. Applicants are encouraged to apply, only if they are willing to work on-site. Responsibilities will include but not be limited to the following: Maintain smooth operation of classified networks - LAN/WAN environments. Plan, design, configure, and install network hardware in support of customer requirements. Maintain technical expertise in all areas of networks and computer hardware / software interconnection, as well as interfaces, including routers, multiplexers, firewalls, switches, gateways, etc. Propose solutions to management to ensure all communications requirements are based on future needs and current usage, configuring such solutions to optimize cost savings . Ensure all communication requirements (based on future needs and current usage) are configured to optimize cost savings. Create and ensure that appropriate network documentation exists, including operational instructions. Install, configure and Cisco routers, switches, and Palo Alto firewalls. Install, configure and maintain Cisco Call Manager voip systems. Provide regular monitoring, and network analysis, regarding short and long-range planning for in-house systems. May coordinate third-party maintenance for network equipment. Design networks, or portions of networks, including the selection of hardware and software packages. Provide incident and service request support in accordance with enterprise SLAs. May coordinate third-party maintenance for network equipment. Represent the organization in providing solutions to difficult technical issues associated with specific projects. The successful applicant will demonstrate the ability to work in a team environment with engineering users, other network administrators, systems administrators, and computer/facility organizations. The ability to multi-task and good communication skills, both verbal and written, are required. Additional duties will include (but not limited to): Plan, manage and implement complex network designs in support of customer requirements. Develop technical solutions to complex problems which require the regular use of ingenuity and creativity. Support network teams in project designs to clarify project requirements, provide design solutions, in accordance with standards. Perform troubleshooting analysis of network infrastructure and associated systems. Document network hardware and software technology components. Install and configure routers, switches and firewalls. (Cisco/Palo Alto) Implement and troubleshoot LAN technologies such as VLANs, trunking (port tagging), spanning-tree and protocols. Provide third-level support and troubleshooting of network problems. On occasion may provide after-hours and weekend support. Work is performed without appreciable direction. Exercises considerable latitude in determining technical objectives of assignment. Completed work is reviewed from a relatively long- term perspective, for desired results. Implement and troubleshoot WAN technologies such as EIGRP, BGP, OSPF, and telco circuits (T1, T3, OC3) Interface regularly with customers and manage customer installation timelines and deliverables to help facilitate successful deployments. Manage timely resolution of all critical and/or complex problems meeting SLA requirements Experience with HAIPE/TACLANE and other military COMSEC/CRYPTO equipment and procedures. Experience in the use of network analysis tools (i.e. WireShark, SolarWinds, Opnet, etc.) Experience with Microsoft Office, Visio, Project, PowerPoint and Excel is required Lift equipment weighing up to 40 pounds as needed Ability to work after hours, and weekends as needed Basic Qualifications: Master's Degree with 6 years of experience; OR a Bachelor's Degree with 8 years of experience; OR an Associate's Degree with 10 years of experience; OR a High School Diploma (or equivalent) with 12 years of IT experience is required Must have a DOD 8570 IAT level 2 baseline certification (example: Security+ CE) Candidates must have a currentand fully adjudicated DOD Top Secret level security clearance (at a minimum) in order to be considered Candidates must have the ability to obtain, and maintain, a Top Secret/SCI level security clearance as a condition of employment Candidates must have the ability to obtain, and maintain, access to Special Programs as a condition of employment Experience designing and maintaining LAN & WAN based networks, managing routing protocols on large LAN environments, and experience with Cisco hardware (routers, switches, and firewalls) Preferred Qualifications: Bachelor's degree Network Engineering Active Top Secret/SCI, Polygraph, or SAP/SAR access would be nice to have Network+ certification and/or either a CCNP or a CCIE certification Network design, analysis, and administration of routers, switches, hubs, and firewalls Experience in the use of network analysis tools (i.e. WireShark, SolarWinds, Opnet, etc.) would be nice to have Experience with configuring TACLANES would be ideal Previous experience troubleshooting network procedures and best practices; experience with network challenges associated with systems integration, including COTS integration, capacity analysis and system architecture design Demonstrated leadership skills, or previous management of small teams, would be helpful We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. Our Employee Resource Groups (ERGs) offer opportunities to be a friend, be active, be a volunteer, be a leader, be recognized, and to be yourself. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us! Primary Level Salary Range: $120,900.00 - $181,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status . click apply for full job details
04/02/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators, who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought-leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. Networking Technology Professionals, We Want You! The Northrop Grumman Classified Solutions team is seeking a highly experienced Senior Network Administrator to join its dynamic team of technical professionals. The qualified applicant will become part of Northrop Grumman's Classified Solutions support team and can support the organization in Redondo Beach , CA . Note: Due to the classified nature of the work being performed, this position does not offer any virtual or telecommute working options. Applicants are encouraged to apply, only if they are willing to work on-site. Responsibilities will include but not be limited to the following: Maintain smooth operation of classified networks - LAN/WAN environments. Plan, design, configure, and install network hardware in support of customer requirements. Maintain technical expertise in all areas of networks and computer hardware / software interconnection, as well as interfaces, including routers, multiplexers, firewalls, switches, gateways, etc. Propose solutions to management to ensure all communications requirements are based on future needs and current usage, configuring such solutions to optimize cost savings . Ensure all communication requirements (based on future needs and current usage) are configured to optimize cost savings. Create and ensure that appropriate network documentation exists, including operational instructions. Install, configure and Cisco routers, switches, and Palo Alto firewalls. Install, configure and maintain Cisco Call Manager voip systems. Provide regular monitoring, and network analysis, regarding short and long-range planning for in-house systems. May coordinate third-party maintenance for network equipment. Design networks, or portions of networks, including the selection of hardware and software packages. Provide incident and service request support in accordance with enterprise SLAs. May coordinate third-party maintenance for network equipment. Represent the organization in providing solutions to difficult technical issues associated with specific projects. The successful applicant will demonstrate the ability to work in a team environment with engineering users, other network administrators, systems administrators, and computer/facility organizations. The ability to multi-task and good communication skills, both verbal and written, are required. Additional duties will include (but not limited to): Plan, manage and implement complex network designs in support of customer requirements. Develop technical solutions to complex problems which require the regular use of ingenuity and creativity. Support network teams in project designs to clarify project requirements, provide design solutions, in accordance with standards. Perform troubleshooting analysis of network infrastructure and associated systems. Document network hardware and software technology components. Install and configure routers, switches and firewalls. (Cisco/Palo Alto) Implement and troubleshoot LAN technologies such as VLANs, trunking (port tagging), spanning-tree and protocols. Provide third-level support and troubleshooting of network problems. On occasion may provide after-hours and weekend support. Work is performed without appreciable direction. Exercises considerable latitude in determining technical objectives of assignment. Completed work is reviewed from a relatively long- term perspective, for desired results. Implement and troubleshoot WAN technologies such as EIGRP, BGP, OSPF, and telco circuits (T1, T3, OC3) Interface regularly with customers and manage customer installation timelines and deliverables to help facilitate successful deployments. Manage timely resolution of all critical and/or complex problems meeting SLA requirements Experience with HAIPE/TACLANE and other military COMSEC/CRYPTO equipment and procedures. Experience in the use of network analysis tools (i.e. WireShark, SolarWinds, Opnet, etc.) Experience with Microsoft Office, Visio, Project, PowerPoint and Excel is required Lift equipment weighing up to 40 pounds as needed Ability to work after hours, and weekends as needed Basic Qualifications: Master's Degree with 6 years of experience; OR a Bachelor's Degree with 8 years of experience; OR an Associate's Degree with 10 years of experience; OR a High School Diploma (or equivalent) with 12 years of IT experience is required Must have a DOD 8570 IAT level 2 baseline certification (example: Security+ CE) Candidates must have a currentand fully adjudicated DOD Top Secret level security clearance (at a minimum) in order to be considered Candidates must have the ability to obtain, and maintain, a Top Secret/SCI level security clearance as a condition of employment Candidates must have the ability to obtain, and maintain, access to Special Programs as a condition of employment Experience designing and maintaining LAN & WAN based networks, managing routing protocols on large LAN environments, and experience with Cisco hardware (routers, switches, and firewalls) Preferred Qualifications: Bachelor's degree Network Engineering Active Top Secret/SCI, Polygraph, or SAP/SAR access would be nice to have Network+ certification and/or either a CCNP or a CCIE certification Network design, analysis, and administration of routers, switches, hubs, and firewalls Experience in the use of network analysis tools (i.e. WireShark, SolarWinds, Opnet, etc.) would be nice to have Experience with configuring TACLANES would be ideal Previous experience troubleshooting network procedures and best practices; experience with network challenges associated with systems integration, including COTS integration, capacity analysis and system architecture design Demonstrated leadership skills, or previous management of small teams, would be helpful We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. Our Employee Resource Groups (ERGs) offer opportunities to be a friend, be active, be a volunteer, be a leader, be recognized, and to be yourself. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us! Primary Level Salary Range: $120,900.00 - $181,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status . click apply for full job details
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! We are looking for you to join our team as a Principal / Sr. Principal Software Engineer based out of Woodland Hills, CA. As a Principal / Sr. Principal Software Engineer at Northrop Grumman, you will have a challenging and rewarding opportunity to be a part of our Enterprise-wide digital transformation. Through the use of Model-based Engineering, DevSecOps and Agile practices we continue to evolve how we deliver critical national defense products and capabilities for the warfighter. Our success is grounded in our ability to embrace change, move quickly and continuously drive innovation. The successful candidate will be collaborative, open, transparent, and team-oriented with a focus on team empowerment & shared responsibility, flexibility, continuous learning, and a culture of innovation. For this role, responsibilities include but are not limited to: Provide technical leadership for junior software engineers Develop software utilizing C/C++ to modernize and productionize a research codebase with modern C++ features Develop software infrastructure to support CI/CD, software metrics collection, and MLOps Implement software-systems, applications, and architectures that leverage techniques to support achieving increased modularity, scalability, and reliability, while also maintaining precision, accuracy, and speed to meet performance requirements Ensure industry software engineering best practices and standards are applied and maintained Work closely with Software Leads and Architects to understand program intent, system capabilities, and output requirements This requisition may be filled at a higher grade based on qualifications listed below This requisition may be filled at either a Principal Level or a Sr. Principal Level. Basic Qualifications for a Principal Software Engineer (T03) Bachelor's degree in a STEM discipline with 5+ years of relative experience; Master's degree in a STEM discipline with 3+ years of relative experience; PhD + 1 year of relative experience Active Top Secret security clearance and enrolled in Continuous Evaluation Ability to meet customer-specific security screening requirements within a timeframe set forth by management Willingness and ability to work onsite full-time Experience working in C/C++ Familiarity with modern C++ standards and features (e.g., C++ 17 onwards) Demonstrated ability to analyze system requirements to derive software design and performance requirements Proven ability to design and code new software, as well as modify existing software to add new features Ability to debug existing software and correct defects Experience with open software/system architecture solutions Effective communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders Experience with developing and maintaining CI/CD pipelines Experience with Git-based or other software configuration management tools Basic Qualifications for a Sr. Principal Software Engineer (T04) Bachelor's degree in a STEM discipline with 8+ years of relative experience; Master's degree in a STEM discipline with 6+ years of relative experience; PhD + 4 years of relative experience Active Top Secret security clearance and enrolled in Continuous Evaluation Ability to meet customer-specific security screening requirements within a timeframe set forth by management Willingness and ability to work onsite full-time Experience working in C/C++ Familiarity with modern C++ standards and features (e.g., C++ 17 onwards) Demonstrated ability to analyze system requirements to derive software design and performance requirements Proven ability to design and code new software or modify existing software to add new features Ability to debug existing software and correct defects Experience with open software/system architecture solutions Effective communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders Experience with developing and maintaining CI/CD pipelines Experience with Git-based or other software configuration management tools Preferred Qualifications Experience leading the performance of tasks on schedule, at cost and achieving specified requirements Experience with modern C++ standards and features (e.g., C++ 20 onwards) Experience with containers (Docker, Kubernetes) Experience with Linux operating systems Experience with CUDA and GPUs Experience with high performance numerical/scientific computing, parallel computing Experience with developing for SWaP-constrained environments Experience with developing and maintaining CI/CD pipelines Familiarity with signal-processing algorithms Familiarity with Agile lifecycle process including Scrum and DevSecOps This position is contingent upon the successful transfer of an active DoD Top Secret Clearance and the ability to meet customer-specific security screening requirements within a timeframe set forth by management. Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
04/02/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! We are looking for you to join our team as a Principal / Sr. Principal Software Engineer based out of Woodland Hills, CA. As a Principal / Sr. Principal Software Engineer at Northrop Grumman, you will have a challenging and rewarding opportunity to be a part of our Enterprise-wide digital transformation. Through the use of Model-based Engineering, DevSecOps and Agile practices we continue to evolve how we deliver critical national defense products and capabilities for the warfighter. Our success is grounded in our ability to embrace change, move quickly and continuously drive innovation. The successful candidate will be collaborative, open, transparent, and team-oriented with a focus on team empowerment & shared responsibility, flexibility, continuous learning, and a culture of innovation. For this role, responsibilities include but are not limited to: Provide technical leadership for junior software engineers Develop software utilizing C/C++ to modernize and productionize a research codebase with modern C++ features Develop software infrastructure to support CI/CD, software metrics collection, and MLOps Implement software-systems, applications, and architectures that leverage techniques to support achieving increased modularity, scalability, and reliability, while also maintaining precision, accuracy, and speed to meet performance requirements Ensure industry software engineering best practices and standards are applied and maintained Work closely with Software Leads and Architects to understand program intent, system capabilities, and output requirements This requisition may be filled at a higher grade based on qualifications listed below This requisition may be filled at either a Principal Level or a Sr. Principal Level. Basic Qualifications for a Principal Software Engineer (T03) Bachelor's degree in a STEM discipline with 5+ years of relative experience; Master's degree in a STEM discipline with 3+ years of relative experience; PhD + 1 year of relative experience Active Top Secret security clearance and enrolled in Continuous Evaluation Ability to meet customer-specific security screening requirements within a timeframe set forth by management Willingness and ability to work onsite full-time Experience working in C/C++ Familiarity with modern C++ standards and features (e.g., C++ 17 onwards) Demonstrated ability to analyze system requirements to derive software design and performance requirements Proven ability to design and code new software, as well as modify existing software to add new features Ability to debug existing software and correct defects Experience with open software/system architecture solutions Effective communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders Experience with developing and maintaining CI/CD pipelines Experience with Git-based or other software configuration management tools Basic Qualifications for a Sr. Principal Software Engineer (T04) Bachelor's degree in a STEM discipline with 8+ years of relative experience; Master's degree in a STEM discipline with 6+ years of relative experience; PhD + 4 years of relative experience Active Top Secret security clearance and enrolled in Continuous Evaluation Ability to meet customer-specific security screening requirements within a timeframe set forth by management Willingness and ability to work onsite full-time Experience working in C/C++ Familiarity with modern C++ standards and features (e.g., C++ 17 onwards) Demonstrated ability to analyze system requirements to derive software design and performance requirements Proven ability to design and code new software or modify existing software to add new features Ability to debug existing software and correct defects Experience with open software/system architecture solutions Effective communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders Experience with developing and maintaining CI/CD pipelines Experience with Git-based or other software configuration management tools Preferred Qualifications Experience leading the performance of tasks on schedule, at cost and achieving specified requirements Experience with modern C++ standards and features (e.g., C++ 20 onwards) Experience with containers (Docker, Kubernetes) Experience with Linux operating systems Experience with CUDA and GPUs Experience with high performance numerical/scientific computing, parallel computing Experience with developing for SWaP-constrained environments Experience with developing and maintaining CI/CD pipelines Familiarity with signal-processing algorithms Familiarity with Agile lifecycle process including Scrum and DevSecOps This position is contingent upon the successful transfer of an active DoD Top Secret Clearance and the ability to meet customer-specific security screening requirements within a timeframe set forth by management. Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Who We Are: Join the Defense and Intelligence Solutions as a Research Computer Scientist. You will be challenged in developing complex and innovative software solutions across a variety of customers and platform types. Enjoy a flexible work schedule, excellent benefits, and working alongside great teammates. A current / active TS/SCI with a Full Scope Polygraph is required. Objectives of this Role: Adding a highly motivated, proactive, and detailed oriented Lead Computer Scientist to a dynamic team of Software Architects, other Computer Scientists and Engineers that are designing, developing, and documenting next generation software solutions. Contribute to/lead small teams through all aspects of the Software Life Cycle using Agile Methodologies, to include requirements creation and interpretation, leading design, trade studies, development, documentation, testing, task tracking and status, and deployment. Support/lead design and development for new technical solutions and frameworks for thin client, server side development, OOP, embedded programming and database patterns and implementation. Create and contribute to customer required requirements, design and other documentation. Understand applied research solutions and contribute to designs that will support more robust scalability, sustainability, and availability to enable moving the solution from a research to an operational environment. Support proposals as needed. Effective and proactive communication, both verbally and in writing. Give task updates, recommend technical solutions, ask questions, create technical documentation, and support client interactions. Daily and Monthly Responsibilities: Contribute to/lead design and dev of advanced software architectures utilizing object oriented and embedded programming fundamentals, distributing computing, thin clients, and data distribution systems. Proactively communicating on task status and communicating with leadership. Contribute to/lead all phases of the project life cycle: developing technical requirements, designing and developing innovative solutions to difficult problems, testing and integration with a larger system, and installing and documenting complete solutions. Proactively and effectively interacting with team members, working with the team and customer to understand requirements and constraints of the target environment. Working with internal teams to support SW side of proposals, to include basis of estimates. Assist or create WBS for SW efforts to support Agile development cycles, assist and/or lead task estimations and schedule creation for SW tasks assigned and for junior team members. Assess and quantify technical debt based on constraints and requirements. If tasking permits, working a hybrid home/office schedule. Up to 25% travel. Travel to SwRI facilities, short-term travel to government client facilities in the U.S. and overseas. Requirements: Requires a Bachelors degree in Computer Science or Computer Engineering (emphasis on programming and software development) or related such as Computational Engineering. Applicant is required to have a current / active TS/SCI clearance with a full scope polygraph. 8 years: Experience in a variety of programming languages such as Javascript, JAVA, C#, C++, HTML5, and Python. 7 years of experience for those with a Masters degree. Be able to analyze and translate complex technical requirements into an application design, implementation, unit and integration testing; assess and communicate technical debt associated with constraints and design, create software unit testing, and integration & documentation. Be proficient in working with Microsoft Tools, Teams, Various Software Repositories, Various Build Environments, Software Engineering practices, Various Operating systems, Distributed computing, and Computer Science principles. Excellent verbal and written communication skills, proactive communicator, detailed oriented, fast learner, work in a collaborative team environment, and the ability to self-direct. A valid/clear driver's license is required.
04/01/2026
Full time
Who We Are: Join the Defense and Intelligence Solutions as a Research Computer Scientist. You will be challenged in developing complex and innovative software solutions across a variety of customers and platform types. Enjoy a flexible work schedule, excellent benefits, and working alongside great teammates. A current / active TS/SCI with a Full Scope Polygraph is required. Objectives of this Role: Adding a highly motivated, proactive, and detailed oriented Lead Computer Scientist to a dynamic team of Software Architects, other Computer Scientists and Engineers that are designing, developing, and documenting next generation software solutions. Contribute to/lead small teams through all aspects of the Software Life Cycle using Agile Methodologies, to include requirements creation and interpretation, leading design, trade studies, development, documentation, testing, task tracking and status, and deployment. Support/lead design and development for new technical solutions and frameworks for thin client, server side development, OOP, embedded programming and database patterns and implementation. Create and contribute to customer required requirements, design and other documentation. Understand applied research solutions and contribute to designs that will support more robust scalability, sustainability, and availability to enable moving the solution from a research to an operational environment. Support proposals as needed. Effective and proactive communication, both verbally and in writing. Give task updates, recommend technical solutions, ask questions, create technical documentation, and support client interactions. Daily and Monthly Responsibilities: Contribute to/lead design and dev of advanced software architectures utilizing object oriented and embedded programming fundamentals, distributing computing, thin clients, and data distribution systems. Proactively communicating on task status and communicating with leadership. Contribute to/lead all phases of the project life cycle: developing technical requirements, designing and developing innovative solutions to difficult problems, testing and integration with a larger system, and installing and documenting complete solutions. Proactively and effectively interacting with team members, working with the team and customer to understand requirements and constraints of the target environment. Working with internal teams to support SW side of proposals, to include basis of estimates. Assist or create WBS for SW efforts to support Agile development cycles, assist and/or lead task estimations and schedule creation for SW tasks assigned and for junior team members. Assess and quantify technical debt based on constraints and requirements. If tasking permits, working a hybrid home/office schedule. Up to 25% travel. Travel to SwRI facilities, short-term travel to government client facilities in the U.S. and overseas. Requirements: Requires a Bachelors degree in Computer Science or Computer Engineering (emphasis on programming and software development) or related such as Computational Engineering. Applicant is required to have a current / active TS/SCI clearance with a full scope polygraph. 8 years: Experience in a variety of programming languages such as Javascript, JAVA, C#, C++, HTML5, and Python. 7 years of experience for those with a Masters degree. Be able to analyze and translate complex technical requirements into an application design, implementation, unit and integration testing; assess and communicate technical debt associated with constraints and design, create software unit testing, and integration & documentation. Be proficient in working with Microsoft Tools, Teams, Various Software Repositories, Various Build Environments, Software Engineering practices, Various Operating systems, Distributed computing, and Computer Science principles. Excellent verbal and written communication skills, proactive communicator, detailed oriented, fast learner, work in a collaborative team environment, and the ability to self-direct. A valid/clear driver's license is required.
PRINCIPAL TECHNICIAN - SR. TECHNICIAN - Space Hardware Printed Circuit Board Support 05-00288 Who We Are: As a recognized leader in spacecraft electronics, avionics, and instrumentation, we are helping to reveal to enable the next generation of orbital platforms. Objectives of this Role: Development of Printed Circuit Boards (PCBs), creation of detailed Printed Wiring Assembly (PWA) drawings, and Library component generation for electronic designs to be utilized in spacecraft and payload applications. Provide support to parts procurement, engineering analysis, and manufacturing staff to support lifecycle of electronics design. Daily and Monthly Responsibilities: Responsibilities include Schematic capture, development of Printed Circuit Boards (PCBs), creation of detailed Printed Wiring Assembly (PWA) drawings, and Library component generation. Work directly with Electrical and Mechanical engineers to develop printed circuit boards and interconnect systems for space flight applications and instruments as well as Ground Support PCBs to support flight electronic hardware for test. Position may require additional hours to meet project schedules. Must be able to function as a contributing member of a strong instrument development team within an existing group environment; work in a team environment as well as independently. Complete assigned tasks without direct supervision and work on multiple tasks in parallel. Requirements: Requires a high school diploma or equivalent or an Associates degree in Electronic CAD, Architectural & Engineering CAD, or related program field. Related certifications in Altium Designer, IPC standards, or related are preferred. 5 years: Must have a working knowledge of Altium Designer or equivalent PCB design software, basic configuration management methods, and electronic development methods. 5 years: Schematic capture of Electronics design and development of Printed Wiring Board (PWB) layout. Experience troubleshooting and testing analog and digital electronics is beneficial A valid/clear driver's license is required. Special Requirements: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen. Job Locations: San Antonio, Texas Or Austin, Texas For more information about this division, visit the Space Systems home page. An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status. If you need assistance with completing the application, please Contact Us Back To Top
04/01/2026
Full time
PRINCIPAL TECHNICIAN - SR. TECHNICIAN - Space Hardware Printed Circuit Board Support 05-00288 Who We Are: As a recognized leader in spacecraft electronics, avionics, and instrumentation, we are helping to reveal to enable the next generation of orbital platforms. Objectives of this Role: Development of Printed Circuit Boards (PCBs), creation of detailed Printed Wiring Assembly (PWA) drawings, and Library component generation for electronic designs to be utilized in spacecraft and payload applications. Provide support to parts procurement, engineering analysis, and manufacturing staff to support lifecycle of electronics design. Daily and Monthly Responsibilities: Responsibilities include Schematic capture, development of Printed Circuit Boards (PCBs), creation of detailed Printed Wiring Assembly (PWA) drawings, and Library component generation. Work directly with Electrical and Mechanical engineers to develop printed circuit boards and interconnect systems for space flight applications and instruments as well as Ground Support PCBs to support flight electronic hardware for test. Position may require additional hours to meet project schedules. Must be able to function as a contributing member of a strong instrument development team within an existing group environment; work in a team environment as well as independently. Complete assigned tasks without direct supervision and work on multiple tasks in parallel. Requirements: Requires a high school diploma or equivalent or an Associates degree in Electronic CAD, Architectural & Engineering CAD, or related program field. Related certifications in Altium Designer, IPC standards, or related are preferred. 5 years: Must have a working knowledge of Altium Designer or equivalent PCB design software, basic configuration management methods, and electronic development methods. 5 years: Schematic capture of Electronics design and development of Printed Wiring Board (PWB) layout. Experience troubleshooting and testing analog and digital electronics is beneficial A valid/clear driver's license is required. Special Requirements: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen. Job Locations: San Antonio, Texas Or Austin, Texas For more information about this division, visit the Space Systems home page. An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status. If you need assistance with completing the application, please Contact Us Back To Top
Job Title: Systems & Network Infrastructure Engineer Location: Reno, NV & Walnut Creek, CA (Onsite) Duration:12 Months Contract Job Description: Network Engineer is a senior level engineering position within IT Services. The engineer is expected to provide technical leadership in supporting ITS's systems and network infrastructure in support of business operations. The engineer is expected to have expert level knowledge of technical architecture and infrastructure components (hardware, systems software, network topology and configuration). The engineer is expected to play a role in the evaluation, selection, design, and delivery of technical solutions to support application development projects and/or that support the technical infrastructure, while adhering to industry standards and best practices. This person is expected to be able to assign tasks and monitor the work of less senior engineers. Required Skills: • Hardware, operating systems, systems software, and communications technologies including VMware virtualization, RH Linux, Windows Server 2016+, and Intel-based servers. • Storage systems and applications including RAID, NAS, SAN, Veeam backup software. • Systems and network monitoring tools such as Logic Monitor, Datadog, etc. • Network technologies and products including Cisco routers, Cisco switches, Fortinet SD-WAN, TCP/IP, SMTP, SNMP, and Cisco Meraki wireless communications. • Email, collaboration, and office productivity tools such as Microsoft 365 and 8x8. • Security tools including Active Directory, Azure AD, Fortinet firewalls, Crowdstrike Falcon, Microsoft Defender 365, SIEM tools. • IT Service Management tools such as ServiceNow • Building and operating standardized/normalized, automated, secure, and self-service cloud platforms for engineering teams, Infrastructure as Code (IaC), and DevSecOps. Experience in Azure is highly desirable. • Bachelor's degree from a four-year college or university • Additional professional and management education is highly desirable. • 10+ years of experience as a senior systems and network engineer • Strong background in infrastructure technologies, have experience in a similar technical role in a multi-billion dollar global corporation, and possess evidence of distinguished performance in leading enterprise-wide technology and process transformations. ESSENTIAL JOB FUNCTIONS • Hands-on experience in ITS' technologies. Exhibits initiative to learn new technologies related to ITS's target architecture. • Designs enterprise-wide infrastructure solutions and their specifications and configuration. • Possesses a deep understanding of ITS's enterprise architecture, server and network hardware, network design, systems software and tools, and vendors. • Relied upon as an expert in relevant technical subject areas. Expert level skills in conducting evaluations and selection of new products and technologies being considered for use. • Able to apply business knowledge and insights to design sound solutions. Continually seeks to expand on business knowledge. • Provide 24X7 support for telecommunications, wired and wireless networking, computing &, storage infrastructure, and Azure cloud platform. • Implement necessary information security controls for all infrastructure components. • Work with vendors and service providers to ensure services are provided in an efficient and effective manner. • Communicate well in a small group setting. Able to present technical ideas and influence outcomes. • Proactive in providing input to principal-level engineers and/or managers with respect to technical issues or decisions under consideration. • Provides leadership in proactively recognizing and resolving issues. Continually strives to improve ITS's technical infrastructure and make improvements in processes and practices. • Works independently without supervision. Can be relied upon to deliver quality work. • Engage staff at all levels efficiently. Assign tasks and monitor the work of less senior engineers. • Perform On-Call responsibilities for production support of ITS enterprise infrastructure as needed. • This may be required on off-hours or on weekends. • Performs special projects as assigned. Thanks & Regards Vineeth Damarla Sr. BDM Delivery Manager
04/01/2026
Full time
Job Title: Systems & Network Infrastructure Engineer Location: Reno, NV & Walnut Creek, CA (Onsite) Duration:12 Months Contract Job Description: Network Engineer is a senior level engineering position within IT Services. The engineer is expected to provide technical leadership in supporting ITS's systems and network infrastructure in support of business operations. The engineer is expected to have expert level knowledge of technical architecture and infrastructure components (hardware, systems software, network topology and configuration). The engineer is expected to play a role in the evaluation, selection, design, and delivery of technical solutions to support application development projects and/or that support the technical infrastructure, while adhering to industry standards and best practices. This person is expected to be able to assign tasks and monitor the work of less senior engineers. Required Skills: • Hardware, operating systems, systems software, and communications technologies including VMware virtualization, RH Linux, Windows Server 2016+, and Intel-based servers. • Storage systems and applications including RAID, NAS, SAN, Veeam backup software. • Systems and network monitoring tools such as Logic Monitor, Datadog, etc. • Network technologies and products including Cisco routers, Cisco switches, Fortinet SD-WAN, TCP/IP, SMTP, SNMP, and Cisco Meraki wireless communications. • Email, collaboration, and office productivity tools such as Microsoft 365 and 8x8. • Security tools including Active Directory, Azure AD, Fortinet firewalls, Crowdstrike Falcon, Microsoft Defender 365, SIEM tools. • IT Service Management tools such as ServiceNow • Building and operating standardized/normalized, automated, secure, and self-service cloud platforms for engineering teams, Infrastructure as Code (IaC), and DevSecOps. Experience in Azure is highly desirable. • Bachelor's degree from a four-year college or university • Additional professional and management education is highly desirable. • 10+ years of experience as a senior systems and network engineer • Strong background in infrastructure technologies, have experience in a similar technical role in a multi-billion dollar global corporation, and possess evidence of distinguished performance in leading enterprise-wide technology and process transformations. ESSENTIAL JOB FUNCTIONS • Hands-on experience in ITS' technologies. Exhibits initiative to learn new technologies related to ITS's target architecture. • Designs enterprise-wide infrastructure solutions and their specifications and configuration. • Possesses a deep understanding of ITS's enterprise architecture, server and network hardware, network design, systems software and tools, and vendors. • Relied upon as an expert in relevant technical subject areas. Expert level skills in conducting evaluations and selection of new products and technologies being considered for use. • Able to apply business knowledge and insights to design sound solutions. Continually seeks to expand on business knowledge. • Provide 24X7 support for telecommunications, wired and wireless networking, computing &, storage infrastructure, and Azure cloud platform. • Implement necessary information security controls for all infrastructure components. • Work with vendors and service providers to ensure services are provided in an efficient and effective manner. • Communicate well in a small group setting. Able to present technical ideas and influence outcomes. • Proactive in providing input to principal-level engineers and/or managers with respect to technical issues or decisions under consideration. • Provides leadership in proactively recognizing and resolving issues. Continually strives to improve ITS's technical infrastructure and make improvements in processes and practices. • Works independently without supervision. Can be relied upon to deliver quality work. • Engage staff at all levels efficiently. Assign tasks and monitor the work of less senior engineers. • Perform On-Call responsibilities for production support of ITS enterprise infrastructure as needed. • This may be required on off-hours or on weekends. • Performs special projects as assigned. Thanks & Regards Vineeth Damarla Sr. BDM Delivery Manager
Immediate contract opportunity for SAP Systems Engineering Specialist with direct client in New York, NY. This position will serve to reinforce the ERP Project's capacity in respect of Systems Engineering, specifically concerning the ongoing design, build, deployment, maintenance and optimization of the organization's SAP ERP system covering both the various SAP systems and applications part of the On-Premise landscape as well as the integration of select SAP Cloud applications and solutions. Reporting to ERPSD Basis staff, the SAP Engineering specialist will support the following major work areas: • Provide technical expertise and support work in respect of the ERP's on-premise SAP landscape, such as, but not limited to, SAP ECC, SRM, HANA, BW, SLT, PI, TM/EM, CRM, BPC, IBP, Fiori, Portal. • Provide architecture and design assessment for the implementation of SAP Cloud-based solutions in integration with On-premise SAP systems, following SaaS/Paas models and relevant industry best practices. • Assists across the spectrum of the ERP's production support work, including upgrades, system/component installation, installation of patches and Support pack stacks, landscape maintenance, HANA administration & security and transport management. • Supports the effective optimization of SAP NetWeaver security standards to ensure secure communication between distributed systems, with SAP data storage and network security, inter alia. Specific task areas: SAP System Engineering, Basis administration and Production support operations: • Support SAP Basis workstream activities including, but not limited to, performing transports, landscape and instance maintenance, client copies, system refreshes, system installation, support pack stack upgrades, software release management, problem determination, resolution and incident management • Lead and execute SAP HANA upgrades in complex MCOS and high-availability landscapes, working experience with HPE ServiceGuard is a plus. • Demonstrate in-depth expertise in SAP IDM and SRM/MDM platform administration, including installation, configuration, upgrades, repository management, and integration with enterprise identity services. • Manage SAP MDM 7.02 components and ensure seamless integration with SAP NetWeaver Portal, SRM, and PI systems. • Possess in-depth knowledge of SAP Solution Manager in order to support ChaRM setup, retrofit processes, Focused Run configuration, system monitoring, and job monitoring capabilities. • Assist with Redwood RunMyJob for SAP ABAP systems, including installation, upgrades, job scheduling, queue setup for system maintenance, queue monitoring, and advanced troubleshooting. • Engage with the ERP's functional team to drive system performance monitoring, testing and tuning as required, including with respect to SAP cloud integration with On-premise. Technical Architecture of SAP Cloud with SAP On-premise Landscapes and Applications: • Support and maintain infrastructure platform, network, security and storage components in a cloud environment working with VMWare, Storage subsystem, Network components such as Load Balancer, Secure Socket Layer communication, VPN etc. • Design and support of High Availability/DR Solutions and Backup and Recovery solutions for enterprise applications and database in a public, private or hybrid cloud environments. • Assess the architecture and best practices for the integration of SAP Cloud solutions with the SAP On-premise Umoja solution. • Support the actual engineering and integration of On-premise SAP solution with cloud-based solutions provided by 3rd party vendors like Azure, AWS and Google Cloud Platform. • Lead the planning of possible migrations of On-premise systems into SAP's Cloud infrastructure and assist in the implementation. • Lead technical aspects of SAP Cloud-based solutions regarding data protection, SSO solution for external applications SAP Business Technology Platform • Design and architect end-to-end solutions for SAP BTP including application setup and integration with cloud and on-premises application. • Assist with producing technical specifications and architecture diagrams. • Configure identify authentication and provision services using SAP IAS/IPS. Implement OAuth2, JWT, SSO (principal propagation) • Configure and administer SAP BTP subaccounts, Cloud Connector integrations, hybrid connectivity setups, and associated authorization frameworks. Security SAP NetWeaver System, Network, Applications, Data • Enable SAP applications for internet facing solutions by designing and implementation of SAP network security standards between SAP systems using Secure Network Communication (SNC) and SSL (Secure Socket Layer) technologies. • Design solution to protect data, filesystem and backup using encryption. • Analyze and apply SAP Security Hot News and Patches Qualifications and experience: • A minimum of 12 years of specific experience with SAP Basis and SAP Systems engineering technical work, including architectural roadmaps and end-to-end execution of upgrades, migrations, performance optimization and technical integration such as, but not limited to, SAP ECC, SRM, HANA, BW, SLT, BOBJ, PI, TM/EM, CRM, BPC, IBP, Fiori, Portal. • Experience shall include at least 5+ years of HANA administration HA and DR . • Experience shall include system sizing and performance optimization as well as the connecting points of the same with hardware and Infrastructure-related components. • Working experience of BTP Integration Suite, SAP Build Apps/Process Automation, Cloud connector • Working experience with VMWare and Linux. • At least one full life cycle S/4HANA implementation/migration experience of SAP Cloud solutions (PaaS/SaaS) including technical evaluation, roadmap planning (readiness/simplification remediation), architecture integration design, migration and deployment of SAP solutions to Cloud environment (AWS, GCP or Azure) • Security experience shall include hands on experience to architect authorization in Application and HANA DB layers along with managing audit requirements. End to End full SAP HANA life cycle security implementations experience would be a plus. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources deployed today. Trigyn is ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 Certified. Trigyn is an E-Verify Employer.
04/01/2026
Full time
Immediate contract opportunity for SAP Systems Engineering Specialist with direct client in New York, NY. This position will serve to reinforce the ERP Project's capacity in respect of Systems Engineering, specifically concerning the ongoing design, build, deployment, maintenance and optimization of the organization's SAP ERP system covering both the various SAP systems and applications part of the On-Premise landscape as well as the integration of select SAP Cloud applications and solutions. Reporting to ERPSD Basis staff, the SAP Engineering specialist will support the following major work areas: • Provide technical expertise and support work in respect of the ERP's on-premise SAP landscape, such as, but not limited to, SAP ECC, SRM, HANA, BW, SLT, PI, TM/EM, CRM, BPC, IBP, Fiori, Portal. • Provide architecture and design assessment for the implementation of SAP Cloud-based solutions in integration with On-premise SAP systems, following SaaS/Paas models and relevant industry best practices. • Assists across the spectrum of the ERP's production support work, including upgrades, system/component installation, installation of patches and Support pack stacks, landscape maintenance, HANA administration & security and transport management. • Supports the effective optimization of SAP NetWeaver security standards to ensure secure communication between distributed systems, with SAP data storage and network security, inter alia. Specific task areas: SAP System Engineering, Basis administration and Production support operations: • Support SAP Basis workstream activities including, but not limited to, performing transports, landscape and instance maintenance, client copies, system refreshes, system installation, support pack stack upgrades, software release management, problem determination, resolution and incident management • Lead and execute SAP HANA upgrades in complex MCOS and high-availability landscapes, working experience with HPE ServiceGuard is a plus. • Demonstrate in-depth expertise in SAP IDM and SRM/MDM platform administration, including installation, configuration, upgrades, repository management, and integration with enterprise identity services. • Manage SAP MDM 7.02 components and ensure seamless integration with SAP NetWeaver Portal, SRM, and PI systems. • Possess in-depth knowledge of SAP Solution Manager in order to support ChaRM setup, retrofit processes, Focused Run configuration, system monitoring, and job monitoring capabilities. • Assist with Redwood RunMyJob for SAP ABAP systems, including installation, upgrades, job scheduling, queue setup for system maintenance, queue monitoring, and advanced troubleshooting. • Engage with the ERP's functional team to drive system performance monitoring, testing and tuning as required, including with respect to SAP cloud integration with On-premise. Technical Architecture of SAP Cloud with SAP On-premise Landscapes and Applications: • Support and maintain infrastructure platform, network, security and storage components in a cloud environment working with VMWare, Storage subsystem, Network components such as Load Balancer, Secure Socket Layer communication, VPN etc. • Design and support of High Availability/DR Solutions and Backup and Recovery solutions for enterprise applications and database in a public, private or hybrid cloud environments. • Assess the architecture and best practices for the integration of SAP Cloud solutions with the SAP On-premise Umoja solution. • Support the actual engineering and integration of On-premise SAP solution with cloud-based solutions provided by 3rd party vendors like Azure, AWS and Google Cloud Platform. • Lead the planning of possible migrations of On-premise systems into SAP's Cloud infrastructure and assist in the implementation. • Lead technical aspects of SAP Cloud-based solutions regarding data protection, SSO solution for external applications SAP Business Technology Platform • Design and architect end-to-end solutions for SAP BTP including application setup and integration with cloud and on-premises application. • Assist with producing technical specifications and architecture diagrams. • Configure identify authentication and provision services using SAP IAS/IPS. Implement OAuth2, JWT, SSO (principal propagation) • Configure and administer SAP BTP subaccounts, Cloud Connector integrations, hybrid connectivity setups, and associated authorization frameworks. Security SAP NetWeaver System, Network, Applications, Data • Enable SAP applications for internet facing solutions by designing and implementation of SAP network security standards between SAP systems using Secure Network Communication (SNC) and SSL (Secure Socket Layer) technologies. • Design solution to protect data, filesystem and backup using encryption. • Analyze and apply SAP Security Hot News and Patches Qualifications and experience: • A minimum of 12 years of specific experience with SAP Basis and SAP Systems engineering technical work, including architectural roadmaps and end-to-end execution of upgrades, migrations, performance optimization and technical integration such as, but not limited to, SAP ECC, SRM, HANA, BW, SLT, BOBJ, PI, TM/EM, CRM, BPC, IBP, Fiori, Portal. • Experience shall include at least 5+ years of HANA administration HA and DR . • Experience shall include system sizing and performance optimization as well as the connecting points of the same with hardware and Infrastructure-related components. • Working experience of BTP Integration Suite, SAP Build Apps/Process Automation, Cloud connector • Working experience with VMWare and Linux. • At least one full life cycle S/4HANA implementation/migration experience of SAP Cloud solutions (PaaS/SaaS) including technical evaluation, roadmap planning (readiness/simplification remediation), architecture integration design, migration and deployment of SAP solutions to Cloud environment (AWS, GCP or Azure) • Security experience shall include hands on experience to architect authorization in Application and HANA DB layers along with managing audit requirements. End to End full SAP HANA life cycle security implementations experience would be a plus. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources deployed today. Trigyn is ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 Certified. Trigyn is an E-Verify Employer.
Real people. Real service. At , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we're dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a new Principal Backend Engineer to join our growing IT Team. This individual will report to our Sr. Director of IT, serve as a technical leader and system architect, guiding the design and delivery of scalable, reliable, and high-performance solutions across our e-commerce and internal platforms. You'll partner closely with senior leaders to define the long-term engineering vision and lead initiatives that strengthen system performance, scalability, and reliability. If you're an experienced technical leader who thrives on collaboration, mentorship, and building solutions that power business growth, we'd love to hear from you! This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. We reimburse reasonable and necessary travel expenses, and you're also welcome to work on-site anytime beyond these visits - our doors are always open! Role Type: Full-Time Location: Remote Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility Base Salary: $140,000 - $175,000 per year Responsibilities : Technical Strategy & Architecture Architect end-to-end software solutions using modern frameworks and design patterns aligned with scalability, performance, and maintainability goals. Lead system design discussions for high-traffic applications, ensuring robust architecture for business-critical services. Evaluate, recommend, and implement architectural improvements to enhance scalability, observability, and resilience. Define and uphold best practices for code quality, security, accessibility, and data privacy compliance. Project Leadership Lead complex, cross-functional projects from concept to delivery, aligning engineering solutions with business needs. Collaborate with product and business teams to define technical vision and ensure cohesive project execution. Oversee the technical implementation of new features and services, ensuring efficient use of system resources and infrastructure. System Engineering & Optimization Build and maintain distributed systems using Spring Boot microservices, Docker, and Kubernetes. Design and optimize high-performance databases using MySQL and Oracle, leveraging indexing and tuning for efficiency. Implement and manage Redis for caching, Eureka Server for service registration, and the ELK Stack for monitoring and analytics. Configure Nginx and Apache for load balancing and high availability across production systems. DevOps & Reliability Engineering Own and maintain CI/CD pipelines using Jenkins for automated builds, testing, and deployments. Ensure system health and stability through proactive monitoring, logging, and alerting strategies. Drive improvements in deployment automation, infrastructure as code, and site reliability practices. Leadership & Collaboration Act as a technical advisor and mentor, helping develop engineers' skills in architecture, design, and problem-solving. Conduct code and design reviews to maintain engineering excellence. Collaborate effectively with senior leadership and cross-departmental stakeholders to influence company-wide technical initiatives. Foster a culture of innovation, ownership, and accountability across the engineering organization. Requirements : Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Technology, or related field. 10+ years of experience in enterprise-level software development. Advanced proficiency in: Java , Spring Boot , Microservices Architecture MySQL , Oracle , and Redis React and modern front-end frameworks Docker , Kubernetes , Jenkins CI/CD Linux/UNIX , Nginx , Apache , and ELK Stack Deep understanding of data structures , algorithms , and system design principles . Proven ability to architect and deliver complex backend systems and mentor technical teams . Strong collaboration skills with the ability to influence senior leaders and align multiple teams toward shared goals. Why work with us: We have awesome benefits - We offer a wide variety of benefits to help support you and your loved ones. These include: Comprehensive and affordable medical, dental, vision, and voluntary life insurance options 401(k) with up to 4% company match Paid vacation, sick time, and holidays Company-paid basic life insurance and long-term disability Discounted auto, home, and pet insurance programs Flexible Spending Account (FSA) Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP) Company-provided equipment and one-time $250 work from home stipend $750 annual professional development budget $25 monthly Grubhub credit Company rewards and recognition program And more! We empower ownership - We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company's growth and accomplishments. We promote work-life balance - We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy! We support growth - We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget. We give back - We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more. We listen - We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day. Check us out and learn more at ! Additional Details: Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations. Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse may sponsor applicants for work visas in limited situations. is an Equal Opportunity Employer, strongly values inclusion, and encourages individuals of all backgrounds and experiences to apply for this position. To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills. We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations. All emails from the SupplyHouse team will only be sent from email address. Please exercise caution if you receive an email from an alternate domain.
01/07/2026
Full time
Real people. Real service. At , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we're dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a new Principal Backend Engineer to join our growing IT Team. This individual will report to our Sr. Director of IT, serve as a technical leader and system architect, guiding the design and delivery of scalable, reliable, and high-performance solutions across our e-commerce and internal platforms. You'll partner closely with senior leaders to define the long-term engineering vision and lead initiatives that strengthen system performance, scalability, and reliability. If you're an experienced technical leader who thrives on collaboration, mentorship, and building solutions that power business growth, we'd love to hear from you! This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. We reimburse reasonable and necessary travel expenses, and you're also welcome to work on-site anytime beyond these visits - our doors are always open! Role Type: Full-Time Location: Remote Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility Base Salary: $140,000 - $175,000 per year Responsibilities : Technical Strategy & Architecture Architect end-to-end software solutions using modern frameworks and design patterns aligned with scalability, performance, and maintainability goals. Lead system design discussions for high-traffic applications, ensuring robust architecture for business-critical services. Evaluate, recommend, and implement architectural improvements to enhance scalability, observability, and resilience. Define and uphold best practices for code quality, security, accessibility, and data privacy compliance. Project Leadership Lead complex, cross-functional projects from concept to delivery, aligning engineering solutions with business needs. Collaborate with product and business teams to define technical vision and ensure cohesive project execution. Oversee the technical implementation of new features and services, ensuring efficient use of system resources and infrastructure. System Engineering & Optimization Build and maintain distributed systems using Spring Boot microservices, Docker, and Kubernetes. Design and optimize high-performance databases using MySQL and Oracle, leveraging indexing and tuning for efficiency. Implement and manage Redis for caching, Eureka Server for service registration, and the ELK Stack for monitoring and analytics. Configure Nginx and Apache for load balancing and high availability across production systems. DevOps & Reliability Engineering Own and maintain CI/CD pipelines using Jenkins for automated builds, testing, and deployments. Ensure system health and stability through proactive monitoring, logging, and alerting strategies. Drive improvements in deployment automation, infrastructure as code, and site reliability practices. Leadership & Collaboration Act as a technical advisor and mentor, helping develop engineers' skills in architecture, design, and problem-solving. Conduct code and design reviews to maintain engineering excellence. Collaborate effectively with senior leadership and cross-departmental stakeholders to influence company-wide technical initiatives. Foster a culture of innovation, ownership, and accountability across the engineering organization. Requirements : Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Technology, or related field. 10+ years of experience in enterprise-level software development. Advanced proficiency in: Java , Spring Boot , Microservices Architecture MySQL , Oracle , and Redis React and modern front-end frameworks Docker , Kubernetes , Jenkins CI/CD Linux/UNIX , Nginx , Apache , and ELK Stack Deep understanding of data structures , algorithms , and system design principles . Proven ability to architect and deliver complex backend systems and mentor technical teams . Strong collaboration skills with the ability to influence senior leaders and align multiple teams toward shared goals. Why work with us: We have awesome benefits - We offer a wide variety of benefits to help support you and your loved ones. These include: Comprehensive and affordable medical, dental, vision, and voluntary life insurance options 401(k) with up to 4% company match Paid vacation, sick time, and holidays Company-paid basic life insurance and long-term disability Discounted auto, home, and pet insurance programs Flexible Spending Account (FSA) Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP) Company-provided equipment and one-time $250 work from home stipend $750 annual professional development budget $25 monthly Grubhub credit Company rewards and recognition program And more! We empower ownership - We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company's growth and accomplishments. We promote work-life balance - We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy! We support growth - We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget. We give back - We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more. We listen - We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day. Check us out and learn more at ! Additional Details: Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations. Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse may sponsor applicants for work visas in limited situations. is an Equal Opportunity Employer, strongly values inclusion, and encourages individuals of all backgrounds and experiences to apply for this position. To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills. We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations. All emails from the SupplyHouse team will only be sent from email address. Please exercise caution if you receive an email from an alternate domain.
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
