Position Summary As a member of the professional staff, contributes specialized knowledge and skill in a discipline (e.g. Accounting, Finance, Human Resources, Information Resources, Operations Planning & Support, Sales & Marketing) area to support team and/or department business objectives. Generally, works under limited supervision, but within established guidelines, producing and analyzing more complex business information to assist in the decision-making process. Specific Job Summary The Associate Director, Solution Engineer - F&A Applications plays a significant role in the development, support, and stabilization of custom financial application engines and data integration. The Associate Director is responsible for analyzing business needs to help identify business problems and propose and deliver solutions. The incumbent has shared responsibility with technology resources for understanding and translating business needs into effective requirements. The Associate Director takes a leadership role in financial application projects, upgrades, implementations, and enterprise technology solutions, contributing specialized financial application skills and knowledge to support the financial accounting areas of MVW. This position is responsible for providing business process and requirements documentation, as well as working closely with the business in efforts to leverage technology to streamline and automate core financial transactions, to include leading upgrades and implementation of new financial systems. Specific Expected Contributions Provides in-depth business and discipline knowledge in support of financial information systems. Works with key business partners and subject matter experts to draft functional and technical requirement documentation. Works with technical resources to draft conceptual and detailed design documentation. Performs solution delivery planning for unit / user acceptance testing and deployment. Monitors key performance measures and audits controls of accounting, consolidation, and/or reporting information systems. Takes a leadership role in team development Identifies solutions and implements best-practice processes and information systems for enterprise business solutions. Collaborates with external technical service providers to satisfy system change standards to meet the needs of business stakeholders. Works collaboratively with business users to understand complexities of the business and ensure timely exchange of information, user satisfaction, and process improvements. Monitors the audit systems controls process including EBS system change management and separation of duties. Provides support for accounting and reporting information systems. Develops & maintains strong customer relationships. Acts as a team lead for implementation and upgrade projects for the various financial applications. Develops an understanding of MVW accounting processes and how they interact with MVW applications. Assists in special projects as required. Performs other duties as needed. Specific Candidate Profile (the education, experience, skills, and attributes that are important for this position) Education Bachelor's degree in Computer Science, Information Systems or equivalent experience required. Experience At least seven (7) years of relevant and progressive work experience. Demonstrated success leading and developing a strong project team in a complex, service-intensive, deadline-driven environment. Strong experience in SQL or similar tool sets in analyzing and documenting data requirements and business rules. Strong experience in DevOps including Task management and CI/CID. Strong knowledge of the .NET framework Experience with all phases of SDLC Hospitality and/or Timeshare experience preferred. Skills and Attributes: Microsoft Office (all apps). Oracle & SQL Server PL/SQL. Microsoft .NET / C#. Microsoft Azure Services Microsoft Fabric Data Engineering Knowledge of ERP Systems Possesses business and technical knowledge of all financial interfaces and special programs. Possesses proficient knowledge of US and International accounting processes & policies. Demonstrated ability to learn complex business processes and develop solutions to address business system needs in a holistic manner. Strong communication and networking skills providing the ability to work in a dynamic, multi-functional matrix environment. Pro-active, assertive, motivated and disciplined. Effective at prioritizing work and following through on commitments. Demonstrated agility in a constantly changing, fast-paced, deadline-oriented environment. Demonstrated understanding of business process mapping methodologies. Demonstration leadership in the project and upgrade implementations. Strong service orientation and excellent communication skills. Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.
02/07/2026
Full time
Position Summary As a member of the professional staff, contributes specialized knowledge and skill in a discipline (e.g. Accounting, Finance, Human Resources, Information Resources, Operations Planning & Support, Sales & Marketing) area to support team and/or department business objectives. Generally, works under limited supervision, but within established guidelines, producing and analyzing more complex business information to assist in the decision-making process. Specific Job Summary The Associate Director, Solution Engineer - F&A Applications plays a significant role in the development, support, and stabilization of custom financial application engines and data integration. The Associate Director is responsible for analyzing business needs to help identify business problems and propose and deliver solutions. The incumbent has shared responsibility with technology resources for understanding and translating business needs into effective requirements. The Associate Director takes a leadership role in financial application projects, upgrades, implementations, and enterprise technology solutions, contributing specialized financial application skills and knowledge to support the financial accounting areas of MVW. This position is responsible for providing business process and requirements documentation, as well as working closely with the business in efforts to leverage technology to streamline and automate core financial transactions, to include leading upgrades and implementation of new financial systems. Specific Expected Contributions Provides in-depth business and discipline knowledge in support of financial information systems. Works with key business partners and subject matter experts to draft functional and technical requirement documentation. Works with technical resources to draft conceptual and detailed design documentation. Performs solution delivery planning for unit / user acceptance testing and deployment. Monitors key performance measures and audits controls of accounting, consolidation, and/or reporting information systems. Takes a leadership role in team development Identifies solutions and implements best-practice processes and information systems for enterprise business solutions. Collaborates with external technical service providers to satisfy system change standards to meet the needs of business stakeholders. Works collaboratively with business users to understand complexities of the business and ensure timely exchange of information, user satisfaction, and process improvements. Monitors the audit systems controls process including EBS system change management and separation of duties. Provides support for accounting and reporting information systems. Develops & maintains strong customer relationships. Acts as a team lead for implementation and upgrade projects for the various financial applications. Develops an understanding of MVW accounting processes and how they interact with MVW applications. Assists in special projects as required. Performs other duties as needed. Specific Candidate Profile (the education, experience, skills, and attributes that are important for this position) Education Bachelor's degree in Computer Science, Information Systems or equivalent experience required. Experience At least seven (7) years of relevant and progressive work experience. Demonstrated success leading and developing a strong project team in a complex, service-intensive, deadline-driven environment. Strong experience in SQL or similar tool sets in analyzing and documenting data requirements and business rules. Strong experience in DevOps including Task management and CI/CID. Strong knowledge of the .NET framework Experience with all phases of SDLC Hospitality and/or Timeshare experience preferred. Skills and Attributes: Microsoft Office (all apps). Oracle & SQL Server PL/SQL. Microsoft .NET / C#. Microsoft Azure Services Microsoft Fabric Data Engineering Knowledge of ERP Systems Possesses business and technical knowledge of all financial interfaces and special programs. Possesses proficient knowledge of US and International accounting processes & policies. Demonstrated ability to learn complex business processes and develop solutions to address business system needs in a holistic manner. Strong communication and networking skills providing the ability to work in a dynamic, multi-functional matrix environment. Pro-active, assertive, motivated and disciplined. Effective at prioritizing work and following through on commitments. Demonstrated agility in a constantly changing, fast-paced, deadline-oriented environment. Demonstrated understanding of business process mapping methodologies. Demonstration leadership in the project and upgrade implementations. Strong service orientation and excellent communication skills. Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.
hackajob is collaborating with Archer to connect them with exceptional tech professionals for this role. Location : United States (Remote) Preference : West Coast-based candidates strongly preferred Travel : Up to 25% About the Role At Andgo, we are pioneering optimized workforce management (WFM) staffing solutions for the enterprise healthcare marketplace. Our platform is essential for healthcare systems, ensuring optimal staffing levels that directly impact patient care and operational efficiency. We are seeking a highly strategic Principal Technical Account Manager to manage the complete technical lifecycle and long-term success of our most critical, large strategic enterprise account in the US Healthcare space. Reporting to the Senior Manager, Technical Integration & Support, this is a pivotal, high-impact role that demands an ideal blend of executive-level client relationship management and expert-level technical problem-solving. You will act as the dedicated technical leader of the account, responsible for strategic technical planning, complex troubleshooting, and ensuring the customer achieves maximum, sustained value from the Andgo platform. This position is perfect for a seasoned professional who excels at building trust with C-suite and senior technical leaders, translating complex technical roadmaps into business value, and navigating the unique, high-stakes environment of healthcare IT. What you'll be doing Client Relationship Management & Strategic Planning Serve as the primary technical subject matter expert (SME) and strategic advisor for a dedicated, Large Strategic Enterprise Healthcare account, building and maintaining deep, long-term relationships with technical stakeholders and executive decision-makers. Advise the client on how to strategically align their long-term technical goals and initiatives with the capabilities and future direction of the Andgo product roadmap. Advocate for the customer's needs as a strategic partner for their adoption and alignment with the product roadmap. Proactively monitor and interpret customer technical health and system utilization data; identify and mitigate complex risks (performance, security, scalability) to ensure continuity and successful adoption. Collaborate seamlessly with the Customer Success Manager to co-lead Executive Business Reviews, delivering technical presentations that focus on ROI, system optimization, and future strategic growth. Expert Technical Consulting & Troubleshooting Act as the internal and external technical escalation point for all post-live issues, performing advanced root cause analysis by analyzing logs, database configurations, and system behavior. Guide the customer on advanced system architecture, configuration best practices within the Andgo ecosystem, and optimization to ensure a highly scalable and resilient enterprise solution. Drive the resolution of critical technical issues in collaboration with Engineering and Product teams, managing all internal and external technical communication to minimize impact on the critical 24/7 healthcare environment. Project Execution & Product Advocacy Lead the technical execution of high value, complex projects, including enterprise-wide system integrations, major version upgrades, and deployment of new features, ensuring on-time and high-quality delivery. Champion the voice of this key customer internally, translating their unique technical feedback, business workflows, and competitive landscape needs into actionable requirements for our Product and Engineering roadmaps. Co-create and deliver tailored, high-level technical training and documentation for customer IT teams, empowering them to effectively test, and manage their Andgo implementation. What you bring to the team Proven Experience: 7+ years in a senior, customer-facing technical role (e.g., Technical Account Management, Solutions Architect, Enterprise Technical Consulting) supporting Large Strategic Enterprise accounts. WFM Domain Expertise: Required, hands-on experience working with UKG Workforce Management Pro (formerly Dimensions/WFC) or similar enterprise-level WFM solutions. Healthcare Industry Focus: Deep understanding of healthcare staffing, scheduling workflows, operational constraints, and the high-compliance, high-stakes nature of healthcare IT. Technical Acumen: Expert-level knowledge of SaaS solutions, modern integration patterns, cloud environments, and sophisticated technical troubleshooting methodologies. Communication & Presence: Exceptional verbal, written, and presentation skills, with a proven ability to communicate complex technical concepts and strategy to both technical teams and non technical executive-level audiences. Education: Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Bonus Points Demonstrated experience managing a technical relationship with a single, highly strategic, high-revenue account. Work with us! Remote-Friendly: Work from anywhere in the United States. (West Coast preferred) Health & Dental Benefits: Comprehensive health and dental coverage. 401(k) Match: Employer-matched 401(k) plan to help you invest in your future. Professional Development: Budget for professional development to help you grow in your career. Vacation: 4 weeks of vacation to recharge and relax. Statutory Holidays: 12 company-recognized statutory holidays each year. Flex/Bonus Days: 2 additional flex days each year to use however you need. Sick/Wellness Days: Unlimited paid sick and wellness days to support your health and wellbeing. Flexible Hours: Flexible working hours to suit your lifestyle. 10% Time: Opportunity to work on side projects of your choosing. Home Office Setup: Budget to set up your home office. Great Team: Collaborative and supportive team members. Impact: Opportunity to make a significant impact in the healthcare industry. If you feel like you might not possess all the qualities we are looking for, we still want to hear from you! We believe in growing talent and building a diverse team that values growth and personal development. About Us Simplifying complex interactions, Andgo facilitates communication for unplanned, immediate need vacancies and planned absences, ensuring the right person is in the right shift at the right time. As a team we work best when we work closely together, and when ideas can be exchanged openly and honestly. We want our team to understand the "why" of the work they're doing, and how it fits into the overall picture of Andgo as a product and business. Andgo Culture The culture at Andgo Systems is by D.E.S.I.G.N. Does the right thing . We are intentional in determining the right course of action. We do what's right, not what's easy, even when no one is looking. Exhibits a growth mindset . Andgo is a growth company. We invest in ourselves and seek knowledge to achieve this growth. What got us here is not going to get us there. Shows authentic self . We bring our whole selves to work. We have fun, support each other, and contribute positively to our shared culture. We are curious, not judgemental. Innovate & iterate . We thoughtfully experiment and push the boundary, knowing that even when we 'fail' it moves us forward. Good people help first . We add value to every interaction. We have a service-first mentality, whether it's helping a co-worker or a customer. We listen empathetically. No ego . We give and receive feedback openly and honestly. We understand feedback is an important process of improvement and we are willing to change our views when presented with new information. These shared core values are how we hire, review, reward, and recognize our team, so it's important that you share these values in order to be a part of the Andgo team.
02/07/2026
Full time
hackajob is collaborating with Archer to connect them with exceptional tech professionals for this role. Location : United States (Remote) Preference : West Coast-based candidates strongly preferred Travel : Up to 25% About the Role At Andgo, we are pioneering optimized workforce management (WFM) staffing solutions for the enterprise healthcare marketplace. Our platform is essential for healthcare systems, ensuring optimal staffing levels that directly impact patient care and operational efficiency. We are seeking a highly strategic Principal Technical Account Manager to manage the complete technical lifecycle and long-term success of our most critical, large strategic enterprise account in the US Healthcare space. Reporting to the Senior Manager, Technical Integration & Support, this is a pivotal, high-impact role that demands an ideal blend of executive-level client relationship management and expert-level technical problem-solving. You will act as the dedicated technical leader of the account, responsible for strategic technical planning, complex troubleshooting, and ensuring the customer achieves maximum, sustained value from the Andgo platform. This position is perfect for a seasoned professional who excels at building trust with C-suite and senior technical leaders, translating complex technical roadmaps into business value, and navigating the unique, high-stakes environment of healthcare IT. What you'll be doing Client Relationship Management & Strategic Planning Serve as the primary technical subject matter expert (SME) and strategic advisor for a dedicated, Large Strategic Enterprise Healthcare account, building and maintaining deep, long-term relationships with technical stakeholders and executive decision-makers. Advise the client on how to strategically align their long-term technical goals and initiatives with the capabilities and future direction of the Andgo product roadmap. Advocate for the customer's needs as a strategic partner for their adoption and alignment with the product roadmap. Proactively monitor and interpret customer technical health and system utilization data; identify and mitigate complex risks (performance, security, scalability) to ensure continuity and successful adoption. Collaborate seamlessly with the Customer Success Manager to co-lead Executive Business Reviews, delivering technical presentations that focus on ROI, system optimization, and future strategic growth. Expert Technical Consulting & Troubleshooting Act as the internal and external technical escalation point for all post-live issues, performing advanced root cause analysis by analyzing logs, database configurations, and system behavior. Guide the customer on advanced system architecture, configuration best practices within the Andgo ecosystem, and optimization to ensure a highly scalable and resilient enterprise solution. Drive the resolution of critical technical issues in collaboration with Engineering and Product teams, managing all internal and external technical communication to minimize impact on the critical 24/7 healthcare environment. Project Execution & Product Advocacy Lead the technical execution of high value, complex projects, including enterprise-wide system integrations, major version upgrades, and deployment of new features, ensuring on-time and high-quality delivery. Champion the voice of this key customer internally, translating their unique technical feedback, business workflows, and competitive landscape needs into actionable requirements for our Product and Engineering roadmaps. Co-create and deliver tailored, high-level technical training and documentation for customer IT teams, empowering them to effectively test, and manage their Andgo implementation. What you bring to the team Proven Experience: 7+ years in a senior, customer-facing technical role (e.g., Technical Account Management, Solutions Architect, Enterprise Technical Consulting) supporting Large Strategic Enterprise accounts. WFM Domain Expertise: Required, hands-on experience working with UKG Workforce Management Pro (formerly Dimensions/WFC) or similar enterprise-level WFM solutions. Healthcare Industry Focus: Deep understanding of healthcare staffing, scheduling workflows, operational constraints, and the high-compliance, high-stakes nature of healthcare IT. Technical Acumen: Expert-level knowledge of SaaS solutions, modern integration patterns, cloud environments, and sophisticated technical troubleshooting methodologies. Communication & Presence: Exceptional verbal, written, and presentation skills, with a proven ability to communicate complex technical concepts and strategy to both technical teams and non technical executive-level audiences. Education: Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Bonus Points Demonstrated experience managing a technical relationship with a single, highly strategic, high-revenue account. Work with us! Remote-Friendly: Work from anywhere in the United States. (West Coast preferred) Health & Dental Benefits: Comprehensive health and dental coverage. 401(k) Match: Employer-matched 401(k) plan to help you invest in your future. Professional Development: Budget for professional development to help you grow in your career. Vacation: 4 weeks of vacation to recharge and relax. Statutory Holidays: 12 company-recognized statutory holidays each year. Flex/Bonus Days: 2 additional flex days each year to use however you need. Sick/Wellness Days: Unlimited paid sick and wellness days to support your health and wellbeing. Flexible Hours: Flexible working hours to suit your lifestyle. 10% Time: Opportunity to work on side projects of your choosing. Home Office Setup: Budget to set up your home office. Great Team: Collaborative and supportive team members. Impact: Opportunity to make a significant impact in the healthcare industry. If you feel like you might not possess all the qualities we are looking for, we still want to hear from you! We believe in growing talent and building a diverse team that values growth and personal development. About Us Simplifying complex interactions, Andgo facilitates communication for unplanned, immediate need vacancies and planned absences, ensuring the right person is in the right shift at the right time. As a team we work best when we work closely together, and when ideas can be exchanged openly and honestly. We want our team to understand the "why" of the work they're doing, and how it fits into the overall picture of Andgo as a product and business. Andgo Culture The culture at Andgo Systems is by D.E.S.I.G.N. Does the right thing . We are intentional in determining the right course of action. We do what's right, not what's easy, even when no one is looking. Exhibits a growth mindset . Andgo is a growth company. We invest in ourselves and seek knowledge to achieve this growth. What got us here is not going to get us there. Shows authentic self . We bring our whole selves to work. We have fun, support each other, and contribute positively to our shared culture. We are curious, not judgemental. Innovate & iterate . We thoughtfully experiment and push the boundary, knowing that even when we 'fail' it moves us forward. Good people help first . We add value to every interaction. We have a service-first mentality, whether it's helping a co-worker or a customer. We listen empathetically. No ego . We give and receive feedback openly and honestly. We understand feedback is an important process of improvement and we are willing to change our views when presented with new information. These shared core values are how we hire, review, reward, and recognize our team, so it's important that you share these values in order to be a part of the Andgo team.
RELOCATION ASSISTANCE: Relocation assistance may be available 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. 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'll 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'll have the resources, support, and team to do some of the best work of your career. Northrop Grumman Mission Systems has an opening for a Sr. Principal Systems Engineer, with a focus in Target Tracking , Sensor Fusion, and Algorithm Development to join our Airborne Multifunction Systems (AMS) Systems Engineering, Integration and Test (SEIT) team at our Baltimore/Linthicum, MD campus. This position requires up to 100% on-site work due security constraints and an ability to pass an enhanced security review. What You'll get to Do: This position is primarily engaged in the development and fielding of target tracking and sensor fusion systems for advanced multi-function RF subsystems. Key features of operation include analyzing, shaping, and relating data from a wide variety of modes, such as: long-range search and track Radar waveforms and electronic surveillance measure returns. Early in the system lifecycle, systems engineers develop parametric representations, visualizations and data driven analysis to support sensor requirements definition and use case validation. Progressing past analysis and design, Northrop Grumman Systems Engineers also support the integration of sensor modes and trackers from digital simulation environments to sensor labs to our on-site fleet of specially modified test aircraft. Throughout this process, our AMS Systems Engineers engage with our customers to balance their functional and performance requirements with other sensor functionality to enable true multi-function operation. Operates with considerable autonomy and latitude, serving as a key technical guide for major system enhancements and modular redesigns. Expected to drive significant improvements to existing capabilities-requiring both ingenuity and a deep understanding of complex radar/EW measurements. Independently determines approaches to solutions Leads troubleshooting efforts during field testing Drives collaboration to ensure robust integration with the C++ software team This position is contingent upon the successful transfer of an active DoD Secret Clearance and the ability to obtain Special Program Access prior to start. Basic Qualifications: Bachelor's degree with 8 years of experience, master's degree with 6 years of experience or Ph.D. with 4 years of experience in Science, Technology, Engineering, Mathematics, or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S Citizenship is required. A current / active DoD Secret Clearance. Ability to obtain Special Program Access (SAP) prior to start Experience with higher proficiency understanding and developing multi-target trackers, adaptive processing, or sensor fusion algorithms. Experience with MATLAB or equivalent programming/analysis languages Experience with RF signals processing or RF applications Experience with working knowledge of systems engineering principles and processes Preferred Qualifications: Active DoD Top Secret Clearance Master's Degree or PhD in a STEM discipline including electives in radar techniques and signal processing. Has been previously approved for special access programs. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world Primary Level Salary Range: $135,800.00 - $203,600.00 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.
02/06/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available 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. 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'll 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'll have the resources, support, and team to do some of the best work of your career. Northrop Grumman Mission Systems has an opening for a Sr. Principal Systems Engineer, with a focus in Target Tracking , Sensor Fusion, and Algorithm Development to join our Airborne Multifunction Systems (AMS) Systems Engineering, Integration and Test (SEIT) team at our Baltimore/Linthicum, MD campus. This position requires up to 100% on-site work due security constraints and an ability to pass an enhanced security review. What You'll get to Do: This position is primarily engaged in the development and fielding of target tracking and sensor fusion systems for advanced multi-function RF subsystems. Key features of operation include analyzing, shaping, and relating data from a wide variety of modes, such as: long-range search and track Radar waveforms and electronic surveillance measure returns. Early in the system lifecycle, systems engineers develop parametric representations, visualizations and data driven analysis to support sensor requirements definition and use case validation. Progressing past analysis and design, Northrop Grumman Systems Engineers also support the integration of sensor modes and trackers from digital simulation environments to sensor labs to our on-site fleet of specially modified test aircraft. Throughout this process, our AMS Systems Engineers engage with our customers to balance their functional and performance requirements with other sensor functionality to enable true multi-function operation. Operates with considerable autonomy and latitude, serving as a key technical guide for major system enhancements and modular redesigns. Expected to drive significant improvements to existing capabilities-requiring both ingenuity and a deep understanding of complex radar/EW measurements. Independently determines approaches to solutions Leads troubleshooting efforts during field testing Drives collaboration to ensure robust integration with the C++ software team This position is contingent upon the successful transfer of an active DoD Secret Clearance and the ability to obtain Special Program Access prior to start. Basic Qualifications: Bachelor's degree with 8 years of experience, master's degree with 6 years of experience or Ph.D. with 4 years of experience in Science, Technology, Engineering, Mathematics, or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S Citizenship is required. A current / active DoD Secret Clearance. Ability to obtain Special Program Access (SAP) prior to start Experience with higher proficiency understanding and developing multi-target trackers, adaptive processing, or sensor fusion algorithms. Experience with MATLAB or equivalent programming/analysis languages Experience with RF signals processing or RF applications Experience with working knowledge of systems engineering principles and processes Preferred Qualifications: Active DoD Top Secret Clearance Master's Degree or PhD in a STEM discipline including electives in radar techniques and signal processing. Has been previously approved for special access programs. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world Primary Level Salary Range: $135,800.00 - $203,600.00 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.
DCS has an exciting opportunity for a Principal Cybersecurity Engineer providing support to the Air Force Life Cycle Management Center (AFLCMC/HBD), Theater Battle Control Division. The Theater Battle Control Division manages efforts focused on developing, acquiring, fielding and sustaining programs that support worldwide communications, Battle Management, Command & Control, Intelligence, Surveillance & Reconnaissance (C2ISR), Tactical Air Control, Air/Ground Surveillance, Time Critical Targeting, Combat Identification, Radar Imagery, Integrated Air/Missile Defense, and Mobile/Fixed C2ISR Performance, Exploitation & Dissemination Facilities. This is a full-time position located at Hanscom Air Force Base in Bedford, Massachusetts. Essential Job Functions: Assist with development of System Security Management Plans, Program Protection Plans, Security Risk Analyses, OPSEC Plans, Computer Certification and Accreditation, Security Vulnerability and Countermeasures Analyses, Security Concepts of Operations, and other system security engineering-related documents identified in MIL-STD 1785, DoDI 5000.02, Operation of the Adaptive Acquisition Framework, and DoDI 8510.01. Support the system/application Authorization and Accreditation (A&A) effort to include assessing and guiding the quality and completeness of A&A activities, tasks and resulting artifacts mandated by governing DoD and Air Force policies (i.e., Risk Management Framework (RMF). Update, monitor, and manage information in systems for the program office. Process and manage system user account requests and process tools. Process and manage system port/protocol and access control list requirements. Process and manage system Public Key Infrastructure (PKI) identification and authorization requirements. Manage the distribution, implementation, remediation, and tracking of system security updates and configurations as required by the DoD. Recommend policies and procedures to ensure information systems reliability and accessibility to prevent and defend against unauthorized access to systems, networks, and data. Conduct risk and vulnerability assessments of planned and installed information systems to identify vulnerabilities, risk, and protection needs. Promote awareness of security issues among management and ensuring sound security principles are reflected in organizations' vision and goals. Conduct systems security evaluations, audits and reviews. Recommend systems security contingency plans and disaster recovery procedures. Recommend and implementing programs to ensure that systems, network, and data users are aware of, understand, and adhere to systems security policies and procedures. Participate in network and systems design to ensure implementation of appropriate systems security policies. Recommend initial, or updates to, software and configurations to new or existing system security mechanisms. Obtain waivers to mandated security mechanisms/policies which would be detrimental to system performance and impact the system's mission. Facilitate the gathering, analysis and preservation of evidence used in the prosecution of computer. Provide leadership assistance in the analysis of the design, development, integration, implementation and testing of cybersecurity requirements. Develop risk-based strategies to address identified gaps. Required Skills: Must be a US citizen. Must have a be able to maintain a Top Secret Level Clearance. BS/BA Degree and 15 years of experience in the respective technical/professional discipline being performed, 10 of which must be in the DoD. Risk Management Framework (RMF), with empasis on taking projects from Step 1 to Step 5. Vulnerability Management, Tenable Nessus (ACAS-DoD version of Nessus). Desired Skills: Experience with Cross Domain Solutions and USAF CDS-E. Cloud Service Models. Supply Chain Security. NIAP. DoD Policies for Procedures for Cybersecurity. Network Security. Endpoint. DoD Impact Levels. NSA Type 1 encryption. Working with a CSSP - 16th AF. Salary Range : $87,934-$120,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits
02/06/2026
Full time
DCS has an exciting opportunity for a Principal Cybersecurity Engineer providing support to the Air Force Life Cycle Management Center (AFLCMC/HBD), Theater Battle Control Division. The Theater Battle Control Division manages efforts focused on developing, acquiring, fielding and sustaining programs that support worldwide communications, Battle Management, Command & Control, Intelligence, Surveillance & Reconnaissance (C2ISR), Tactical Air Control, Air/Ground Surveillance, Time Critical Targeting, Combat Identification, Radar Imagery, Integrated Air/Missile Defense, and Mobile/Fixed C2ISR Performance, Exploitation & Dissemination Facilities. This is a full-time position located at Hanscom Air Force Base in Bedford, Massachusetts. Essential Job Functions: Assist with development of System Security Management Plans, Program Protection Plans, Security Risk Analyses, OPSEC Plans, Computer Certification and Accreditation, Security Vulnerability and Countermeasures Analyses, Security Concepts of Operations, and other system security engineering-related documents identified in MIL-STD 1785, DoDI 5000.02, Operation of the Adaptive Acquisition Framework, and DoDI 8510.01. Support the system/application Authorization and Accreditation (A&A) effort to include assessing and guiding the quality and completeness of A&A activities, tasks and resulting artifacts mandated by governing DoD and Air Force policies (i.e., Risk Management Framework (RMF). Update, monitor, and manage information in systems for the program office. Process and manage system user account requests and process tools. Process and manage system port/protocol and access control list requirements. Process and manage system Public Key Infrastructure (PKI) identification and authorization requirements. Manage the distribution, implementation, remediation, and tracking of system security updates and configurations as required by the DoD. Recommend policies and procedures to ensure information systems reliability and accessibility to prevent and defend against unauthorized access to systems, networks, and data. Conduct risk and vulnerability assessments of planned and installed information systems to identify vulnerabilities, risk, and protection needs. Promote awareness of security issues among management and ensuring sound security principles are reflected in organizations' vision and goals. Conduct systems security evaluations, audits and reviews. Recommend systems security contingency plans and disaster recovery procedures. Recommend and implementing programs to ensure that systems, network, and data users are aware of, understand, and adhere to systems security policies and procedures. Participate in network and systems design to ensure implementation of appropriate systems security policies. Recommend initial, or updates to, software and configurations to new or existing system security mechanisms. Obtain waivers to mandated security mechanisms/policies which would be detrimental to system performance and impact the system's mission. Facilitate the gathering, analysis and preservation of evidence used in the prosecution of computer. Provide leadership assistance in the analysis of the design, development, integration, implementation and testing of cybersecurity requirements. Develop risk-based strategies to address identified gaps. Required Skills: Must be a US citizen. Must have a be able to maintain a Top Secret Level Clearance. BS/BA Degree and 15 years of experience in the respective technical/professional discipline being performed, 10 of which must be in the DoD. Risk Management Framework (RMF), with empasis on taking projects from Step 1 to Step 5. Vulnerability Management, Tenable Nessus (ACAS-DoD version of Nessus). Desired Skills: Experience with Cross Domain Solutions and USAF CDS-E. Cloud Service Models. Supply Chain Security. NIAP. DoD Policies for Procedures for Cybersecurity. Network Security. Endpoint. DoD Impact Levels. NSA Type 1 encryption. Working with a CSSP - 16th AF. Salary Range : $87,934-$120,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits
RELOCATION ASSISTANCE: Relocation assistance may be available 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. Northrop Grumman Mission Systems is seeking Staff RF Hardware Subsystem Integration and Test Engineers Typical Roles and Responsibilities include: The qualified candidate will lead a diverse and talented team of engineers in hardware integration and test at the Subsystems level. Staff engineers should have a demonstrated ability in technical and team leadership overseeing engineers with experience at least at the Sr. Principal level. Responsibilities may include subsystem analysis including hardware from RF to digits, performance modeling, support for performance testing, and more. Work will be performed under consultative direction toward predetermined long-range goals and objectives. Assignments are often self-initiated. This role is contingent upon having a current Active Secret Clearance and future ability to achieve a SAP Clearance. Basic Qualifications: Must have a Bachelors Degree in Engineering or related discipline with 12 years of experience in the areas described in the job description or 10 years of experience with a Masters Degree and/or 8 years of experience with a Ph. D. US Citizenship is required Current Active Secret Clearance Exhibit proficiency in near field or compact antenna test ranges on tasks including antenna range integration, test, data collection, data analysis, and system integration Exhibit proficiency with RF test equipment including network analyzers, signal generators, spectrum analyzers, and oscilloscopes Ability to develop highly novel solutions to a broad variety of RF/Microwave design and test related problems of complex difficulty which require the regular use of ingenuity and creativity Established subject matter expertise in numerous areas of RF/Microwave discipline including but not limited to: Antenna, RF performance analysis, RF test verification, and production test support Exhibit proficiency in electrical and mechanical troubleshooting Exhibit proficiency in software scripting and debugging in MATLAB, Visual Basic, and C++ Exhibit general aptitude in antenna range scheduling, staffing, technical team leadership, requirements, prioritization, time management, team building, work dissemination, planning, and early identification of issues Ability to design, implement, install and maintain electrical systems Preferred Qualifications: Ability to obtain a SAP Clearance Expert user of both near-field and compact antenna test ranges Expert user of NSI-MI Technology antenna range test systems Expert user of MATLAB for post-processing antenna range test data Primary Level Salary Range: $169,000.00 - $253,600.00 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.
02/05/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available 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. Northrop Grumman Mission Systems is seeking Staff RF Hardware Subsystem Integration and Test Engineers Typical Roles and Responsibilities include: The qualified candidate will lead a diverse and talented team of engineers in hardware integration and test at the Subsystems level. Staff engineers should have a demonstrated ability in technical and team leadership overseeing engineers with experience at least at the Sr. Principal level. Responsibilities may include subsystem analysis including hardware from RF to digits, performance modeling, support for performance testing, and more. Work will be performed under consultative direction toward predetermined long-range goals and objectives. Assignments are often self-initiated. This role is contingent upon having a current Active Secret Clearance and future ability to achieve a SAP Clearance. Basic Qualifications: Must have a Bachelors Degree in Engineering or related discipline with 12 years of experience in the areas described in the job description or 10 years of experience with a Masters Degree and/or 8 years of experience with a Ph. D. US Citizenship is required Current Active Secret Clearance Exhibit proficiency in near field or compact antenna test ranges on tasks including antenna range integration, test, data collection, data analysis, and system integration Exhibit proficiency with RF test equipment including network analyzers, signal generators, spectrum analyzers, and oscilloscopes Ability to develop highly novel solutions to a broad variety of RF/Microwave design and test related problems of complex difficulty which require the regular use of ingenuity and creativity Established subject matter expertise in numerous areas of RF/Microwave discipline including but not limited to: Antenna, RF performance analysis, RF test verification, and production test support Exhibit proficiency in electrical and mechanical troubleshooting Exhibit proficiency in software scripting and debugging in MATLAB, Visual Basic, and C++ Exhibit general aptitude in antenna range scheduling, staffing, technical team leadership, requirements, prioritization, time management, team building, work dissemination, planning, and early identification of issues Ability to design, implement, install and maintain electrical systems Preferred Qualifications: Ability to obtain a SAP Clearance Expert user of both near-field and compact antenna test ranges Expert user of NSI-MI Technology antenna range test systems Expert user of MATLAB for post-processing antenna range test data Primary Level Salary Range: $169,000.00 - $253,600.00 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.
Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking an Application Security Manager for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you - apply today! "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans." Job Title: Senior Cybersecurity Architect/Application Threat Modeler Job Category: 06 Months (Contract to Hire) Industry: Banking Job Location : 100% Remote Zip Code: 30303 Top 3/5 Skills: Cybersecurity, Application Security, PASTA, STRIDE, "Threat Modeling' Min & Max Pay Rate (Ex: $90.00 /hr. - $95.00/hr.): Senior Cybersecurity Architect/Application Threat Modeler Job Description Role Responsibilities: The Sr. Cybersecurity Architect conducts threat modeling activities utilizing the Process of Attack Simulation Threat Analysis (PASTA) methodology to create an offensive security perspective for technology delivery teams with the goal of creating visibility and context to threats and vulnerabilities to applications and solutions. Analyze business requirements, while validating security specifications, and assess security solutions that support core organizational functions, and assure their confidentiality, integrity and high availability. Principally works, under limited supervision, with Corporate Information Security (CIS) personnel, Line of Business (LOB) personnel, external vendors, and internal IT Services personnel including Enterprise Architects, Application & Data Services personnel and other IT Operations Services teams. A threat model is an output of an exercise performed on an application or solution to determine weaknesses that could potentially be exploited by a threat actor. It allows for the application teams to pinpoint design and implementation issues that requires remediation or mitigation. Job Description : Essential Duties and Responsibilities : Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Threat Modeling & Risk Identification Conduct structured threat modeling for applications, APIs, and services across the Technology Delivery Lifecycle (TDLC) Identify potential threats, attack vectors, design flaws, and vulnerabilities that may impact delivery timelines, system security, or regulatory compliance Assess risks to confidentiality, integrity, availability, and resiliency of business-critical systems Integration into TDLC Embed security-by-design practices into each TDLC phase (requirements, design, build, test, deploy) Collaborate with delivery teams to ensure security controls and mitigations are defined early and consistently implemented Track and validate mitigation strategies throughout delivery cycles to ensure secure releases Risk Communication & Reporting Document threat models, risk scenarios, and security design considerations in clear, actionable reports. Deliver tailored risk communication to technical teams, product owners, and executive stakeholders Provide risk ratings and recommendations to support informed go/no-go release decisions Collaboration & Influence Partner with architects, engineers, product managers, and delivery leads to balance security and business objectives. Act as a subject matter expert on secure application design, emerging attack vectors, and industry frameworks (e.g., STRIDE, PASTA, OWASP). Mentor TDLC team members on threat modeling practices and proactive risk identification. Continuous Improvement Refine threat modeling processes, frameworks, and automation for scalability across delivery portfolios. Incorporate real-world threat intelligence, incident data, and vulnerability management findings into TDLC risk assessments. Contribute to the creation of reusable playbooks, secure design patterns, and threat libraries for enterprise-wide adoption. Must Have Skills/Prior Experiences: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in a technical or business field, or equivalent education and related training Eight years of demonstrated experience of systems engineering and/or architecture in at least one of the information security areas: network security, access management, end point protection, data loss prevention, vulnerability management, application security, forensics, web security, mainframe, incident response and/or cyber threat management in a medium to large corporation Highly experienced in network security architecture, including design tools, methods, and techniques and the application of Defense-in-Depth principles; knowledge of network design processes, including understanding of security objectives Specialized depth and thorough Knowledge of The Open Group Architecture Framework (TOGAF), including infrastructure, data, information security, applications, architectural concepts, and associated disciplines
02/05/2026
Full time
Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking an Application Security Manager for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you - apply today! "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans." Job Title: Senior Cybersecurity Architect/Application Threat Modeler Job Category: 06 Months (Contract to Hire) Industry: Banking Job Location : 100% Remote Zip Code: 30303 Top 3/5 Skills: Cybersecurity, Application Security, PASTA, STRIDE, "Threat Modeling' Min & Max Pay Rate (Ex: $90.00 /hr. - $95.00/hr.): Senior Cybersecurity Architect/Application Threat Modeler Job Description Role Responsibilities: The Sr. Cybersecurity Architect conducts threat modeling activities utilizing the Process of Attack Simulation Threat Analysis (PASTA) methodology to create an offensive security perspective for technology delivery teams with the goal of creating visibility and context to threats and vulnerabilities to applications and solutions. Analyze business requirements, while validating security specifications, and assess security solutions that support core organizational functions, and assure their confidentiality, integrity and high availability. Principally works, under limited supervision, with Corporate Information Security (CIS) personnel, Line of Business (LOB) personnel, external vendors, and internal IT Services personnel including Enterprise Architects, Application & Data Services personnel and other IT Operations Services teams. A threat model is an output of an exercise performed on an application or solution to determine weaknesses that could potentially be exploited by a threat actor. It allows for the application teams to pinpoint design and implementation issues that requires remediation or mitigation. Job Description : Essential Duties and Responsibilities : Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Threat Modeling & Risk Identification Conduct structured threat modeling for applications, APIs, and services across the Technology Delivery Lifecycle (TDLC) Identify potential threats, attack vectors, design flaws, and vulnerabilities that may impact delivery timelines, system security, or regulatory compliance Assess risks to confidentiality, integrity, availability, and resiliency of business-critical systems Integration into TDLC Embed security-by-design practices into each TDLC phase (requirements, design, build, test, deploy) Collaborate with delivery teams to ensure security controls and mitigations are defined early and consistently implemented Track and validate mitigation strategies throughout delivery cycles to ensure secure releases Risk Communication & Reporting Document threat models, risk scenarios, and security design considerations in clear, actionable reports. Deliver tailored risk communication to technical teams, product owners, and executive stakeholders Provide risk ratings and recommendations to support informed go/no-go release decisions Collaboration & Influence Partner with architects, engineers, product managers, and delivery leads to balance security and business objectives. Act as a subject matter expert on secure application design, emerging attack vectors, and industry frameworks (e.g., STRIDE, PASTA, OWASP). Mentor TDLC team members on threat modeling practices and proactive risk identification. Continuous Improvement Refine threat modeling processes, frameworks, and automation for scalability across delivery portfolios. Incorporate real-world threat intelligence, incident data, and vulnerability management findings into TDLC risk assessments. Contribute to the creation of reusable playbooks, secure design patterns, and threat libraries for enterprise-wide adoption. Must Have Skills/Prior Experiences: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in a technical or business field, or equivalent education and related training Eight years of demonstrated experience of systems engineering and/or architecture in at least one of the information security areas: network security, access management, end point protection, data loss prevention, vulnerability management, application security, forensics, web security, mainframe, incident response and/or cyber threat management in a medium to large corporation Highly experienced in network security architecture, including design tools, methods, and techniques and the application of Defense-in-Depth principles; knowledge of network design processes, including understanding of security objectives Specialized depth and thorough Knowledge of The Open Group Architecture Framework (TOGAF), including infrastructure, data, information security, applications, architectural concepts, and associated disciplines
DCS has an exciting opportunity for a Principal Innovation Engineer providing support to the Command, Control, Communications, and Battle Management Division (C3BM). Command, Control, Communications, and Battle Management (C3BM) has been tasked with delivering an integrated Department of the Air Force (DAF) Battle Network providing resilient decision advantage and enabling the USAF, USSF, Joint, and Coalition Force to win against the pacing challenge. C3BM supports execution in many different focus areas. C3BM's main efforts are Architecture and Systems Engineering (ASE), Operational Response Team (ORT), and multiple mission integration teams such as Air, Maritime and multiple acquisitions consisting of both the Advanced Battle Management System (ABMS) and Space. The candidate will provide Systems Engineering assistance that applies a broad theoretical and practical knowledge of system engineering to the acquisition process. The candidate will also provide engineering support in the design, operation, and sustainment of systems and components that cover tasks throughout the acquisition life cycle (requirements analysis through system disposal). This is a full-time position that is located at Hanscom AFB, Bedford, MA. Essential Job Functions: Operational Analysis to translate operational and functional requirements into technical requirements. Architecture Definition to design the capability's architecture while ensuring integration/interoperability with the broader DAF C3BM enterprise architecture. Risk assessment of the capability, and if risk needs to be mitigated, the MIT works with the Science & Technology Community to address. Execution management strategy providing the capability's requirements to the Acquisition Community. Test and Evaluation Strategy with the Acquisition Community to work with the Test and Evaluation Community for exercise and experimentation activities before delivery to the Operational Community. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Must have and be able to maintain an active Top Secret level clearance and be SCI eligible. Bachelors Degree in Engineering and 12 years of experience. Familiarity with DAF Battle Network data links and related interoperability standards. Understanding of air, space, processing, and computing layers within the operational technology stack. Knowledge of digital infrastructure, including networking and cloud/edge environments. Experience with fixed AOCs and associated mission systems. Understanding of firmware and software-defined capabilities. Ability to engage industry, identify relevant technologies, and map solutions to mission and technical needs for PM implementation. Desired Skills: Bachelor's or Master's Degree and 20+ years of experience with 12+ years of DoD related experience. Familiar with cloud-based systems, including management and projection of cost and performance. Familiar with agile methods and CI/CD, DevSecOps and DevOps principals. Comprehensive knowledge of principles, policies and practices of systems acquisition and program management, as defined in DoDI 5000.02 and 5000.75, as well as knowledge of roles and relationships within the DoD and the Air Force. Possess knowledge of qualitative and quantitative techniques for gathering, analyzing, and measuring the effectiveness, efficiency and productivity of acquisition programs. Possesses the ability to effectively communicate orally and in writing, providing quality acquisition and program documentation including but not limited to briefings, documents, and plans. Additional Information: Salary Range : $120,506-$150,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits
02/05/2026
Full time
DCS has an exciting opportunity for a Principal Innovation Engineer providing support to the Command, Control, Communications, and Battle Management Division (C3BM). Command, Control, Communications, and Battle Management (C3BM) has been tasked with delivering an integrated Department of the Air Force (DAF) Battle Network providing resilient decision advantage and enabling the USAF, USSF, Joint, and Coalition Force to win against the pacing challenge. C3BM supports execution in many different focus areas. C3BM's main efforts are Architecture and Systems Engineering (ASE), Operational Response Team (ORT), and multiple mission integration teams such as Air, Maritime and multiple acquisitions consisting of both the Advanced Battle Management System (ABMS) and Space. The candidate will provide Systems Engineering assistance that applies a broad theoretical and practical knowledge of system engineering to the acquisition process. The candidate will also provide engineering support in the design, operation, and sustainment of systems and components that cover tasks throughout the acquisition life cycle (requirements analysis through system disposal). This is a full-time position that is located at Hanscom AFB, Bedford, MA. Essential Job Functions: Operational Analysis to translate operational and functional requirements into technical requirements. Architecture Definition to design the capability's architecture while ensuring integration/interoperability with the broader DAF C3BM enterprise architecture. Risk assessment of the capability, and if risk needs to be mitigated, the MIT works with the Science & Technology Community to address. Execution management strategy providing the capability's requirements to the Acquisition Community. Test and Evaluation Strategy with the Acquisition Community to work with the Test and Evaluation Community for exercise and experimentation activities before delivery to the Operational Community. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Must have and be able to maintain an active Top Secret level clearance and be SCI eligible. Bachelors Degree in Engineering and 12 years of experience. Familiarity with DAF Battle Network data links and related interoperability standards. Understanding of air, space, processing, and computing layers within the operational technology stack. Knowledge of digital infrastructure, including networking and cloud/edge environments. Experience with fixed AOCs and associated mission systems. Understanding of firmware and software-defined capabilities. Ability to engage industry, identify relevant technologies, and map solutions to mission and technical needs for PM implementation. Desired Skills: Bachelor's or Master's Degree and 20+ years of experience with 12+ years of DoD related experience. Familiar with cloud-based systems, including management and projection of cost and performance. Familiar with agile methods and CI/CD, DevSecOps and DevOps principals. Comprehensive knowledge of principles, policies and practices of systems acquisition and program management, as defined in DoDI 5000.02 and 5000.75, as well as knowledge of roles and relationships within the DoD and the Air Force. Possess knowledge of qualitative and quantitative techniques for gathering, analyzing, and measuring the effectiveness, efficiency and productivity of acquisition programs. Possesses the ability to effectively communicate orally and in writing, providing quality acquisition and program documentation including but not limited to briefings, documents, and plans. Additional Information: Salary Range : $120,506-$150,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits
DCS has an exciting opportunity for a Senior Systems Engineer providing support to the Command, Control, Communications, and Battle Management Division (C3BM). Command, Control, Communications, and Battle Management (C3BM) has been tasked with delivering an integrated Department of the Air Force (DAF) Battle Network providing resilient decision advantage and enabling the USAF, USSF, Joint, and Coalition Force to win against the pacing challenge. C3BM supports execution in many different focus areas. C3BM's main efforts are Architecture and Systems Engineering (ASE), Operational Response Team (ORT), and multiple mission integration teams such as Air, Maritime and multiple acquisitions consisting of both the Advanced Battle Management System (ABMS) and Space. The candidate will provide Systems Engineering assistance that applies a broad theoretical and practical knowledge of system engineering to the acquisition process. The candidate will also provide engineering support in the design, operation, and sustainment of systems and components that cover tasks throughout the acquisition life cycle (requirements analysis through system disposal). This is a full-time position that can be worked out of Hanscom AFB, Bedford, MA. Essential Job Functions: Candidate selected will be aligned to 1 of 5 Mission Integration Teams (MITs) duty stationed at Hanscom AFB, MA. The five mission areas are Air, Maritime, Land, homeland Air Defense, and Cross Cutting. Members of the MITs manage the DAF C3BM MIT Process for their respective MIT. The DAF C3BM MIT Process receives operational and functional requirements from the Operational Community and conducts a(an): 1. Operational Analysis to translate operational and functional requirements into technical requirements. 2. Architecture Definition to design the capability's architecture while ensuring integration/interoperability with the broader DAF C3BM enterprise architecture. 3. Risk assessment of the capability, and if risk needs to be mitigated, the MIT works with the Science & Technology Community to address. 4. Execution management strategy providing the capability's requirements to the Acquisition Community. 5. Test and Evaluation Strategy with the Acquisition Community to work with the Test and Evaluation Community for exercise and experimentation activities before delivery to the Operational Community. Serves a Mission Integration Team (MIT) system of systems architecture design and development engineers. Reviews current Department of Defense (DoD) architecture models and designs a migration path to a future state that enables seamless sensor-to-shooter connectivity. Drives interconnectivity between represented PEOs and weapon systems. Captures as is and to be states driven by MIT stressing engagement scenarios. Engages the joint and coalition community to design and evaluate an architecture that will connect any sensor to any shooter irrespective of service or coalition. Identifies, assesses, and matures innovative and affordable concepts meeting current and future AF needs through multi-domain expertise, analytics, and modeling, simulation & analysis tool development. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Must have and be able to maintain an active Top Secret security clearance and be SCI eligible. BA/BS Degree and 10 years of directly related experience with 5 years of experience in a DoD setting. Familiar with cloud-based systems, including management and projection of cost and performance. Familiar with agile methods and CI/CD, DevSecOps and DevOps principals. Comprehensive knowledge of principles, policies and practices of systems acquisition and program management, as defined in DoDI 5000.02 and 5000.75, as well as knowledge of roles and relationships within the DoD and the Air Force. Possess knowledge of qualitative and quantitative techniques for gathering, analyzing, and measuring the effectiveness, efficiency and productivity of acquisition programs. Possesses the ability to effectively communicate orally and in writing, providing quality acquisition and program documentation including but not limited to briefings, documents, and plans. Additional Information: Salary Range : $87,934-$120,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits
02/04/2026
Full time
DCS has an exciting opportunity for a Senior Systems Engineer providing support to the Command, Control, Communications, and Battle Management Division (C3BM). Command, Control, Communications, and Battle Management (C3BM) has been tasked with delivering an integrated Department of the Air Force (DAF) Battle Network providing resilient decision advantage and enabling the USAF, USSF, Joint, and Coalition Force to win against the pacing challenge. C3BM supports execution in many different focus areas. C3BM's main efforts are Architecture and Systems Engineering (ASE), Operational Response Team (ORT), and multiple mission integration teams such as Air, Maritime and multiple acquisitions consisting of both the Advanced Battle Management System (ABMS) and Space. The candidate will provide Systems Engineering assistance that applies a broad theoretical and practical knowledge of system engineering to the acquisition process. The candidate will also provide engineering support in the design, operation, and sustainment of systems and components that cover tasks throughout the acquisition life cycle (requirements analysis through system disposal). This is a full-time position that can be worked out of Hanscom AFB, Bedford, MA. Essential Job Functions: Candidate selected will be aligned to 1 of 5 Mission Integration Teams (MITs) duty stationed at Hanscom AFB, MA. The five mission areas are Air, Maritime, Land, homeland Air Defense, and Cross Cutting. Members of the MITs manage the DAF C3BM MIT Process for their respective MIT. The DAF C3BM MIT Process receives operational and functional requirements from the Operational Community and conducts a(an): 1. Operational Analysis to translate operational and functional requirements into technical requirements. 2. Architecture Definition to design the capability's architecture while ensuring integration/interoperability with the broader DAF C3BM enterprise architecture. 3. Risk assessment of the capability, and if risk needs to be mitigated, the MIT works with the Science & Technology Community to address. 4. Execution management strategy providing the capability's requirements to the Acquisition Community. 5. Test and Evaluation Strategy with the Acquisition Community to work with the Test and Evaluation Community for exercise and experimentation activities before delivery to the Operational Community. Serves a Mission Integration Team (MIT) system of systems architecture design and development engineers. Reviews current Department of Defense (DoD) architecture models and designs a migration path to a future state that enables seamless sensor-to-shooter connectivity. Drives interconnectivity between represented PEOs and weapon systems. Captures as is and to be states driven by MIT stressing engagement scenarios. Engages the joint and coalition community to design and evaluate an architecture that will connect any sensor to any shooter irrespective of service or coalition. Identifies, assesses, and matures innovative and affordable concepts meeting current and future AF needs through multi-domain expertise, analytics, and modeling, simulation & analysis tool development. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Must have and be able to maintain an active Top Secret security clearance and be SCI eligible. BA/BS Degree and 10 years of directly related experience with 5 years of experience in a DoD setting. Familiar with cloud-based systems, including management and projection of cost and performance. Familiar with agile methods and CI/CD, DevSecOps and DevOps principals. Comprehensive knowledge of principles, policies and practices of systems acquisition and program management, as defined in DoDI 5000.02 and 5000.75, as well as knowledge of roles and relationships within the DoD and the Air Force. Possess knowledge of qualitative and quantitative techniques for gathering, analyzing, and measuring the effectiveness, efficiency and productivity of acquisition programs. Possesses the ability to effectively communicate orally and in writing, providing quality acquisition and program documentation including but not limited to briefings, documents, and plans. Additional Information: Salary Range : $87,934-$120,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits
Amentum Space Exploration Division
Huntsville, Alabama
Grow With Us Your growth matters to usthats why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like Team Lead Academy, education reimbursement, mentoring, and company sponsored networking events, you can take control of your own career path on your own terms with a company that believes in you. A Place Where You Belong At the Amentum Space Exploration Division, people are at the heart of our business. We reflect a diversity of cultures, backgrounds, and experiences. We expect our people, clients, and partners to treat one another with dignity and respect. This means promoting inclusion, celebrating diversity, and appreciating the differences we all bring to our workplace. Support Your Well-Being Our comprehensive benefits package includes wellness programs, 11 paid holidays, parental leave, paid time off, employee perks and much more. With these benefits, plus the option for flexible schedules and possible remote a few days a week (depending on customer requirements) well support you as you pursue a balanced, fulfilling lifeat work and at home. Position Description: This position will provide technical leadership as well as systems engineering and integration support to the Systems Planning and Technical Leadership Branch (EV71) in support of the Spacecraft Payload Integration & Evolution (SPIE) Lead Systems Engineer (LSE) team. Responsibilities: Coordinate and interface with SPIE project team personnel, MSFC engineering organizations (Branches, Divisions, and Departments), personnel at other NASA Centers and Agencies, technical/discipline leads, SPIE Prime Contractors, and other stakeholder project teams and personnel. Participate in reviews, meetings, TIMs, technical performance meetings, teleconferences, working groups, and trade studies. Employ proven systems engineering and project management processes and techniques. Provide support and expertise to trade studies, assessments, and independent analyses to enable the development of recommendations in areas such as systems engineering processes, systems engineering and technical and management questions, issues, risks affecting the performance and management processes. Perform systems engineering assessments of technical documentation including Change Requests (CRs), Requirements Change Notices (RCN), LCC Change Notices (LCN), Work Authorization Documents (WAD), and Deviation Approval Requests (DAR). Coordinate the assignments of technical documentation reviews/assessments to the SPIE LSE team. Coordinate and track Data Exchange (DEx) agreements between the SPIE Element and SLS/SLS contractors. Provide support associated with programmatic processes and documentation, process definition, and other systems engineering management and planning functions. Provide technical review of artifacts and/or support the setup and administration for milestone reviews. Lead and/or facilitate complex tasks, including task teams, data agreements, change package reviews, and trade studies as well as independently manage subtasks with minimum government oversight. Qualifications: A degree in aerospace, mechanical, industrial, or systems engineering or a related field from an accredited university is required. Typically, educational requirements are the equivalent of a BS with at least 10 years of experience or a masters degree with at least 8 years of experience. Experience: Leading and applying systems engineering processes and principals. Experience developing and/or documenting/updating requirements, processes, and/or procedures associated with aerospace flight and ground hardware design, development, production, test, verification, evaluation, integration, and/or operations. Ability to interface and collaborate with all levels of engineering and project management with the ability to lead and influence for consensus. Ability to use program planning tools and management databases. Experience in systems integration and interface definition in hardware design, development, test, integration, and/or operations. Demonstrated experience and skills negotiating and collaborating to resolve complex technical problems. Demonstrated skill breaking down complex problems or issues into manageable pieces. Excellent written and oral technical communication skills must be able to clearly define and describe a technical subject to peers across various engineering disciplines. Demonstrated experience and skills developing and delivering project-level briefings. Intermediate skills using Microsoft Office Suite (Word, Excel, PowerPoint, Teams & Outlook). Desired: An understanding and knowledge of the current SLS program. A working understanding of the SPIE interfaces and sub-elements. Experience supporting Space Shuttle, International Space Station (ISS), Commercial Crew, or Expendable Launch Vehicle (ELV) programs. Experience reading and working with engineering drawings, interface control documents, configuration documents, and/or other technical documentation. Experience in launch vehicle technical project management or project planning. Familiarity with NASA Systems Engineering policies and procedures related to technical management. Star ID will be required to obtain access to MSFC. Proof of U.S. Citizenship is required. We are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language. We are a background screening, drug-free workplace. ASED offers a partnership in which you can grow personally and professionally within a framework of strong leadership, competitive compensation, and rewarding career paths. Come join our team on the Engineering Services and Science Capability Augmentation (ESSCA) contract whose work is destined to have a long-range effect on future generations! For more information on why Huntsville is known as one of the smartest cities in the nation, check out these websites: To review career opportunities and to submit your resume for Amentum Space Exploration Division in Huntsville, AL, visit /. Select Career Opportunities to reach ASED jobs o Search & choose Job by title o Upload your resume to apply online o Sign-in / Register your profile / Set up Job Alerts
01/14/2026
Grow With Us Your growth matters to usthats why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like Team Lead Academy, education reimbursement, mentoring, and company sponsored networking events, you can take control of your own career path on your own terms with a company that believes in you. A Place Where You Belong At the Amentum Space Exploration Division, people are at the heart of our business. We reflect a diversity of cultures, backgrounds, and experiences. We expect our people, clients, and partners to treat one another with dignity and respect. This means promoting inclusion, celebrating diversity, and appreciating the differences we all bring to our workplace. Support Your Well-Being Our comprehensive benefits package includes wellness programs, 11 paid holidays, parental leave, paid time off, employee perks and much more. With these benefits, plus the option for flexible schedules and possible remote a few days a week (depending on customer requirements) well support you as you pursue a balanced, fulfilling lifeat work and at home. Position Description: This position will provide technical leadership as well as systems engineering and integration support to the Systems Planning and Technical Leadership Branch (EV71) in support of the Spacecraft Payload Integration & Evolution (SPIE) Lead Systems Engineer (LSE) team. Responsibilities: Coordinate and interface with SPIE project team personnel, MSFC engineering organizations (Branches, Divisions, and Departments), personnel at other NASA Centers and Agencies, technical/discipline leads, SPIE Prime Contractors, and other stakeholder project teams and personnel. Participate in reviews, meetings, TIMs, technical performance meetings, teleconferences, working groups, and trade studies. Employ proven systems engineering and project management processes and techniques. Provide support and expertise to trade studies, assessments, and independent analyses to enable the development of recommendations in areas such as systems engineering processes, systems engineering and technical and management questions, issues, risks affecting the performance and management processes. Perform systems engineering assessments of technical documentation including Change Requests (CRs), Requirements Change Notices (RCN), LCC Change Notices (LCN), Work Authorization Documents (WAD), and Deviation Approval Requests (DAR). Coordinate the assignments of technical documentation reviews/assessments to the SPIE LSE team. Coordinate and track Data Exchange (DEx) agreements between the SPIE Element and SLS/SLS contractors. Provide support associated with programmatic processes and documentation, process definition, and other systems engineering management and planning functions. Provide technical review of artifacts and/or support the setup and administration for milestone reviews. Lead and/or facilitate complex tasks, including task teams, data agreements, change package reviews, and trade studies as well as independently manage subtasks with minimum government oversight. Qualifications: A degree in aerospace, mechanical, industrial, or systems engineering or a related field from an accredited university is required. Typically, educational requirements are the equivalent of a BS with at least 10 years of experience or a masters degree with at least 8 years of experience. Experience: Leading and applying systems engineering processes and principals. Experience developing and/or documenting/updating requirements, processes, and/or procedures associated with aerospace flight and ground hardware design, development, production, test, verification, evaluation, integration, and/or operations. Ability to interface and collaborate with all levels of engineering and project management with the ability to lead and influence for consensus. Ability to use program planning tools and management databases. Experience in systems integration and interface definition in hardware design, development, test, integration, and/or operations. Demonstrated experience and skills negotiating and collaborating to resolve complex technical problems. Demonstrated skill breaking down complex problems or issues into manageable pieces. Excellent written and oral technical communication skills must be able to clearly define and describe a technical subject to peers across various engineering disciplines. Demonstrated experience and skills developing and delivering project-level briefings. Intermediate skills using Microsoft Office Suite (Word, Excel, PowerPoint, Teams & Outlook). Desired: An understanding and knowledge of the current SLS program. A working understanding of the SPIE interfaces and sub-elements. Experience supporting Space Shuttle, International Space Station (ISS), Commercial Crew, or Expendable Launch Vehicle (ELV) programs. Experience reading and working with engineering drawings, interface control documents, configuration documents, and/or other technical documentation. Experience in launch vehicle technical project management or project planning. Familiarity with NASA Systems Engineering policies and procedures related to technical management. Star ID will be required to obtain access to MSFC. Proof of U.S. Citizenship is required. We are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language. We are a background screening, drug-free workplace. ASED offers a partnership in which you can grow personally and professionally within a framework of strong leadership, competitive compensation, and rewarding career paths. Come join our team on the Engineering Services and Science Capability Augmentation (ESSCA) contract whose work is destined to have a long-range effect on future generations! For more information on why Huntsville is known as one of the smartest cities in the nation, check out these websites: To review career opportunities and to submit your resume for Amentum Space Exploration Division in Huntsville, AL, visit /. Select Career Opportunities to reach ASED jobs o Search & choose Job by title o Upload your resume to apply online o Sign-in / Register your profile / Set up Job Alerts
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
01/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
01/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
01/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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).
