18 jobs found

Job DescriptionJob Description STR is focused on delivering National Defense capabilities by driving mission-focused strategies to develop advanced technology systems enabling enduring products and solutions focused on achieving the customer vision. Our programs deliver sustainable, reliable, and cost-efficient capabilities focused on end-customer needs that function in operationally relevant environments and timeframes. We consider the entire lifecycle of the solution, from conceptualization and architecting, through development to deployment, while leveraging novel technologies to deliver first-of-a-kind systems. The Systems Development Division (SDD) within STR delivers technology advantage into users' hands and is seeking a Principal Radar Systems Engineer to support/lead the architecting, design, development, and implementation of radar systems that meet challenging customer needs. You will collaborate with fellow researchers and engineers on multi-disciplinary teams to interpret and understand customer objectives and develop innovative solutions. You may direct and/or lead development efforts and junior engineers, as needed, in areas of focus including exploration and demonstration of Radar and EW/RF convergence. As a Systems Engineer, you will apply a broad perspective and understanding of the elements that comprise a complete, functioning radar system to architect solutions, be directly involved with implementing the solutions (hands-on engineering), and guide teams spanning software, hardware, integration and test. You should have experience defining leading teams, architecting complete radar systems, and working across the Systems Engineering Lifecycle, with familiarity in Digital Engineering/MBSE. Strong interpersonal, communication, technical, and peer-leadership skills are required. Applicants are expected to be self-motivated, detail oriented and have a demonstrated ability to effectively communicate with all levels of management and individual contributors on the program team through strong written and verbal communication skills. You will be joining a dynamic team working across multiple disciplines with opportunities to further expand your knowledge and grow your career. What you will do: Researching, understanding, and leading new RF sensing implementations for advanced radar solutions. Identifying new technical approaches and working with program and technical leadership to implement these approaches. Decomposing customer needs/complex problems and developing system concepts and solutions. Effectively using tools to create, evaluate, and document solutions and clearly communicate the solution to the team, STR management, and customers, which may include generating system models in Cameo. Designing, directing, and when necessary, implementing cutting-edge technology in multi-function radar systems. Conducting performance analysis through simulations and real-world testing to validate and optimize radar performance. Ensuring appropriate level of rigor is applied to achieve systems that meet customer needs. Collaborating with cross-functional teams to define system requirements, specifications and architectures for radars, and ensure seamless integration and interoperability of the system. Development and specification of simulation tools to facilitate test and verification of radar software and hardware components. Who you are: This position requires an Active Secret security clearance, and ability to obtain a Top Secret (TS) clearance with eligibility to support special access programs (SAP), for which U.S. citizenship is needed by U.S. Government. Expert understanding of and experience with entire radar systems and their principles of design, development, requirements verification, test planning, test execution, data analysis, and operations support. In-depth knowledge of how to implement radar modes, including transmit and receive waveform generation and signal processing. Proficiency in radar simulation tools and MATLAB. Experience in preparing and delivering high-level briefings to customers and senior management. Interacting with decision-makers and customers to translate mission needs into an end-to-end solution. Familiarity with the execution of technical reviews (SRRs, PDRs, CDRs, TIMs). Demonstrated experience in leadership and delivery of advanced development projects. Minimum of 10 years work experience as a Radar Systems Engineer. Background should include a Bachelor's degree and at least 10 years of applicable experience directly related to development and deployment of radar systems; Master's degree and at least 8 years of applicable experience; or PhD and at least 5 years of applicable experience. Equivalent experience will be considered. Even Better: 5+ years experience working with SysML models in Cameo (or similar tool). Experience working with software-intensive systems and open architecture. Familiarity with programming languages (e.g. C, C++, Python). Pay Information Full-Time Salary Range: $204,000 - $284,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

DCS Corp has an exciting opportunity for a position providing GEOINT Systems Engineer Support - Imaging and Targeting Support (I&TS) to the Air Force Life Cycle Management Center/PEO Intelligence, Surveillance, and Reconnaissance / Special Operation Forces (ISR/SOF) Directorate (AFLCMC/WI). This position will support the AFLCMC/WIN ISR Sensors Division. Essential Job Functions: The Candidate will provide support to Imaging and Targeting Support (I&TS) including airborne ISR engineering responsibility for performing analysis and making recommendations for the Next Generation U-2 Electro-Optical/Hyperspectral Sensor. The Candidate will assist with defining system specifications, input/output processes, parameters to meet business requirements, and hardware/software compatibility. The Candidate will assist in developing and leading technical projects. The Candidate will assist with fact-finding and research as required for the project. The Candidate will assist with designing test and evaluation requirements based on research and analysis. The Candidate will assist with establishing and recommending changes to the program which affect performance and advise the Government team and management on matters concerning hardware, software, and future upgrades. The Candidate will assist with reviewing system interface documentation and technical specifications for AFLCMC/WIN. The Candidate will interface with all levels of management and personnel and provide acquisition technical and management expertise with a strong background in planning, organizing, and coordinating various types of programs. The Candidate will assist with executing engineering design on various systems to include requirements definition and design evaluation. The Candidate will assist with integrating technology with operational requirements to improve weapons system capability and supportability. The Candidate will assist with test planning, data analysis and technical reporting. The Candidate will apply the principles, criteria, and procedures of the DoD to include DoD 5000.01 and DoD 5000.02 as well as the policies and processes of USAF, HQ AFMC, AFLCMC Engineering Directorate, ISR & SOF Directorate and Division level to all AFLCMC/WIN engineering tasks. The Candidate will perform data gathering, data entry, and data analysis, as well as apply knowledge of the acquisition process. The Candidate will provide operationally relevant GEOINT engineering services to assist with technology development activities that identify, analyze, evaluate, test, and implement new capabilities for potential incorporation into the intelligence collection architecture. The Candidate will assist with integrating preplanned improvements or follow-on capabilities to candidate sensors for existing or emerging platforms and sensor data with current exploitation elements as required to execute the T&E mission, to include but not limited to the following activities: I&TS, Reduction of Data Using Compression Enhancements (RDUCE), Synthetic Aperture Radar (SAR), as well as other emerging next generation imaging sensor development programs managed by AFLCMC/WIN such as those under the High Altitude Long Range GEOINT Capabilities (HALRGC) study, Laser Radar/Light Detection and Ranging (LADAR/LIDAR) study, and Hyperspectral Imaging, and EO/IR sensor designs. Engineering services will be provided with commensurate expertise in GEOINT technology areas, DoD acquisition, and system engineering processes. The Candidate will assist in translating DoD user requirements into system requirements which will be used by the weapon system contractor to design, develop, fabricate, test, and evaluate systems, subsystems, and equipment for deployment. The Candidate will assist in performing technical/mission analyses of operational requirements, assist in developing system concepts, and perform technological/trade-off study assessments of proposed designs. The Candidate will assist in reviewing the overall system design baseline (architecture and interoperability requirements). The Candidate will assist in the areas of integrated subsystem controls, environmental control, thermal management, auxiliary and emergency power, mechanical systems, and fire/overheat protection systems. The Candidate will assist with processes for drafting project documentation, including SOOs and SOWs, program plans, schedules, and presentations. The Candidate will assist in drafting documentation required by regulations and statues, to include but not limited to the SEP and LCSP. The Candidate will assist with reviewing documents and data and providing comments. The Candidate will assist test teams in the development of test requirements and reviewing test plans. The Candidate will assist in reviewing and analyzing technical proposals or modifications for cost, design feasibility and system compatibility. The Candidate will assist in reviewing specifications, including system, system segment, and equipment specifications, and ICDs submitted by the weapon system contractor or other DoD agencies involved in the program. The Candidate will assist in supporting and conducting engineering performance, effectiveness, cost effectiveness, cost performance, life-cycle cost, producibility, maintainability, supportability, reliability, technical/schedule risk assessment, and scheduling trade-off studies. The Candidate will assist in the support and conduct of systems analyses to include system design/design feasibility and state-of-the-art assessment. The Candidate will assist in supporting the evaluation of IMP, IMS, and SEDS engineering cost estimates. The Candidate will assist in the evaluation of systems test plans (such as systems test plans/test and evaluation master plans) and participate in the conduct of system, subsystem, and component testing. The Candidate will provide systems/subsystems integration support for the acquisition, development, and verification of systems and equipment. The Candidate will assist in the development of integration plans, interface management and control plans, and integration test plans. The Candidate will assist in conducting analyses and trade studies to define interface requirements, establishing cost effective interface design solutions, and resolving interface problems. This support will include assisting in the review of ICDs, participation on appropriate ICWG activities, tracking status of ICD development and problem resolution. The Candidate will assist in review of integration test plans, procedures, and data. The Candidate will assist in special studies to define alternative interface/integration approaches. The Candidate will assist in DoD and Air Force system-of-systems acquisition engineering processes. The Candidate will assist in sensor development and integration on manned or unmanned air vehicles. The Candidate will assist in areas such as integrated subsystem controls, avionics, communications/data link integration, and electrical power integration. The Candidate will assist in producing architectures which assess the user needs, document the planned and existing systems intended to meet the needs, determine deficiencies, develop alternative solutions, and recommend a solution to meet the deficiencies. The Candidate will assist in developing a plan to implement the chosen solution. These architectures could cover a command's need, such as, GEOINT systems for an advanced aircraft, system architecture need for a multi-user GEOINT systems or GEOINT mission sub-area architectures for strategic, tactical, and support communication systems. The Candidate will assist in engineering support including defining GEOINT system and subsystem requirements, system analysis, integration, test, and evaluation activities and identifying potential related projects to GEOINT programs. The Candidate will assist in the technical and management aspects of GEOINT requirements. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. A Master's or Doctorate Degree in a related field and at least 20 years of experience, 12 years of which must be in the DoW/DoD; Bachelor's degree and 25 years of experience in the respective technical/professional discipline being performed, 15 years of which must be in the DoW/DoD; or 30 years directly related experience, 20 years of which must be in the DoW/DoD. The candidate's Bachelor's degree in Engineering is required to be from an ABET accredited program. An adjudicated DoD Top Secret Security clearance on the First Day of employment. This is a Principal level position. The candidate must possess expert knowledge, experience, and recognized ability to be considered an industry leader in their technical / professional field. Typically performs the following kinds of functions: initiates, oversees, and/or develops requirements from a project's inception to conclusion for complex to extremely complex programs; provides strategic advice, technical guidance, and expertise to program and project staff; provides detailed analyses, evaluations, and recommendations for improvements, optimization development, and/or maintenance efforts for client-specific or mission critical challenges/issues; consults with client to define needs or problems; oversees studies; and leads surveys to collect and analyze data to provide advice and recommend solutions. Possesses the ability to perform tasks and oversee the efforts of junior, journeyman, and senior contractor personnel within and across multiple technical / professional disciplines. (Program Office, Enterprise, Staff and Executive Level Support interface).

Job DescriptionJob Description Security Clearance: Must be able to obtain and maintain a public trust clearance Location: Woodlawn, MD Job Type: Full-Time Target Salary Range : $145,000 - $175,000. This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary Position Overview: Strong experience with Java, OpenShift/ Amazon Web Services (AWS), Agile Development, Angular/React, JavaScript, Kafka, Spring Boot, Spring Batch, and Web Services. Key Responsibilities: Design and develop software applications using Twelve-Factor App methodology from functional requirements. Develop highly innovative UI design, Web components, achieved through collaboration and dialogue with other experts in the field. The candidate will continually assess advancements in technologies to gauge and recommend better solutions for the customer to improve the software developer experience and efficient delivery of software. Implementation of Graphical User Interface (GUI) using the presentation tier technologies such as AngularJS, ReactJS, Node JS, Type Script, JavaScript, JSP, HTML, CSS, XML, AJAX, and jQuery,. Front end development using modern JavaScript and experience with ES13+ features, such as classes, arrow functions, template literals and modules. Design Web Page components that are compliant with Section 508 of the Rehabilitation Act (29 U.S.C. 794d). Design and develop Microservices using Spring Boot, Java and RESTful architecture. Solid understanding of DevOps practices, CI/CD pipelines, and tools such as Jenkins, Git, Bitbucket, OpenShift and experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies. Develop and maintain Enterprise Java Batch application using Java Specification Request (JSR) 352 specification and schedule Java Batch jobs using Control-M. Develop Simple Object Access Protocol (SOAP) based Web Services using technologies such as JAX-WS, Apache Axis, and Web Services Description Language (WSDL). Implement Web Service Security using WS-Security using existing IBM DataPower infrastructure. Ensure interoperability with Web Services-Interoperability (WS-I) standards, and optimize message transmission using Message Transmission Optimization Mechanism (MTOM) or SOAP with Attachments (SWA). Ability to collaborate with cross-functional teams, including business analysts, QA, and project managers and commitment to continuous learning and staying updated with emerging technologies. Develop the Data Access Layer (DAO) to interface the application with IBM DB2 9.0 and PostgreSQL databases running on z/OS mainframe and Linux operating systems and other platforms, utilizing JPA or Spring Data API for querying and retrieving data through Object Relational Mapping (ORM). Create POCs, templates for developing Behavior Driven Development (BDD) test framework for the APIs using Cucumber, Gherkin, and Java to implement Integration tests. Develop unit test cases for every possible Java class with real scenarios using Junit, Mockito and Power Mock frameworks Use Visio, Confluence and IT Governance Frameworks to document the solution architecture & develop UML based design documents. Attend all customer technical discussions/design/development meetings and provide viable technical solutions to further enhance the existing architecture and improve code quality/process. Impact functional strategy by developing new solutions, processes, standards, or operational plans that position Leidos competitively in the marketplace. Provide guidance/support to other junior/mid-level developers. Experience as hands on Technical Lead All other duties as assigned or directed. Qualifications: Education: Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field. Masters or Doctorate degree may substitute for required experience Experience: 10+ years of experience with Java, Spring Boot, Angular, React. Extensive Design and Programming skills in Java and JEE technologies. Extensive hands-on experience with one or more frameworks such as Angular, React, and Express/Node.js. Experience as hands on Technical Lead Experience working on Agile projects and strong knowledge of Agile terminology and tools including Agility. Experience in designing high-throughput and low-latency systems, including architecting scalable solutions capable of handling large volumes of concurrent requests with minimal response times. Experience in developing the applications using Single-Page Application Architecture. Proficient in implementing efficient data processing pipelines, optimizing application performance through asynchronous processing, caching strategies, and load balancing. Experience in coding "responsive" web pages with an understanding of the cross-browser limitations and browser compliance standards. Experience designing and deploying cloud-native applications onto AWS with PostgreSQL. Deep Knowledge of PaaS offerings such as Red Hat OpenShift and Docker. Experience with modern software development tools for Continuous Integration including Jenkins, Git/BitBucket, Jira, Nexus, Maven, Jenkins, SonarQube, Fortify, and UrbanCode Deploy. Experience with Web Services Technologies (XML, JAXP, JAXB, JAX-WS, AXIS, JERSEY, JSON, CXF, REST and SOAP) and Security (LTPA, OAUTH2/JWT). Hands-on Design and development experience on Microservices and RESTful API. Experience with Automated unit test (i.e. JUnit, Mocking frameworks), Test Driven Development (TDD), and Behavior-driven development (BDD) (Cucumber). Experience with JEE technologies including Struts, Spring Framework (IoC, MVC, Transactions, Security, and Batch), Spring Boot, Spring JDBC, JPA, Hibernate, SOAP/RESTful, XML, DB2, Tomcat, WebSphere. Experience with static code analyzers like SonarQube and addressing SonarQube recommended technical debts such as bugs, vulnerabilities, hotspots in the code. Knowledge of security vulnerabilities in web applications and addressing them. Experience with performance tuning software applications for effective CPU, Memory utilization, Quick turnaround response time, building highly scalable software applications in Cloud Environment handling higher volume of data and traffic. Preferred Qualifications: Proficient in designing and implementing Kafka-based event-driven architectures, including the use of Kafka producers, consumers, topics, partitions, and consumer groups for scalable and fault-tolerant data streaming. Experienced in configuring Kafka brokers, managing message retention policies, and optimizing throughput with appropriate replication and partitioning strategies. Familiar with integrating Kafka Connect for data ingestion, utilizing Kafka Streams for real-time data processing, and monitoring Kafka clusters for performance and reliability. Demonstrate a strong understanding of the latest trends in Artificial Intelligence (AI) and showcase the ability to apply AI knowledge to enhance or redesign existing system architectures, identifying opportunities where AI-driven solutions can add value, improve efficiency, or enable new capabilities. Experience with the implementation of Section 508 standards for Web Applications. Exposure to writing Technical White Papers and systems design documents. Prior experience with federal or state governments IT projects. Experience with low code platforms like ServiceNow, Pega, MS Power Platform etc

Who We Are: Join the Defense and Intelligence Solutions as a Research Computer Scientist. You will be challenged in developing complex and innovative software solutions across a variety of customers and platform types. Enjoy a flexible work schedule, excellent benefits, and working alongside great teammates. A current / active TS/SCI with a Full Scope Polygraph is required. Objectives of this Role: Adding a highly motivated, proactive, and detailed oriented Lead Computer Scientist to a dynamic team of Software Architects, other Computer Scientists and Engineers that are designing, developing, and documenting next generation software solutions. Contribute to/lead small teams through all aspects of the Software Life Cycle using Agile Methodologies, to include requirements creation and interpretation, leading design, trade studies, development, documentation, testing, task tracking and status, and deployment. Support/lead design and development for new technical solutions and frameworks for thin client, server side development, OOP, embedded programming and database patterns and implementation. Create and contribute to customer required requirements, design and other documentation. Understand applied research solutions and contribute to designs that will support more robust scalability, sustainability, and availability to enable moving the solution from a research to an operational environment. Support proposals as needed. Effective and proactive communication, both verbally and in writing. Give task updates, recommend technical solutions, ask questions, create technical documentation, and support client interactions. Daily and Monthly Responsibilities: Contribute to/lead design and dev of advanced software architectures utilizing object oriented and embedded programming fundamentals, distributing computing, thin clients, and data distribution systems. Proactively communicating on task status and communicating with leadership. Contribute to/lead all phases of the project life cycle: developing technical requirements, designing and developing innovative solutions to difficult problems, testing and integration with a larger system, and installing and documenting complete solutions. Proactively and effectively interacting with team members, working with the team and customer to understand requirements and constraints of the target environment. Working with internal teams to support SW side of proposals, to include basis of estimates. Assist or create WBS for SW efforts to support Agile development cycles, assist and/or lead task estimations and schedule creation for SW tasks assigned and for junior team members. Assess and quantify technical debt based on constraints and requirements. If tasking permits, working a hybrid home/office schedule. Up to 25% travel. Travel to SwRI facilities, short-term travel to government client facilities in the U.S. and overseas. Requirements: Requires a Bachelors degree in Computer Science or Computer Engineering (emphasis on programming and software development) or related such as Computational Engineering. Applicant is required to have a current / active TS/SCI clearance with a full scope polygraph. 8 years: Experience in a variety of programming languages such as Javascript, JAVA, C#, C++, HTML5, and Python. 7 years of experience for those with a Masters degree. Be able to analyze and translate complex technical requirements into an application design, implementation, unit and integration testing; assess and communicate technical debt associated with constraints and design, create software unit testing, and integration & documentation. Be proficient in working with Microsoft Tools, Teams, Various Software Repositories, Various Build Environments, Software Engineering practices, Various Operating systems, Distributed computing, and Computer Science principles. Excellent verbal and written communication skills, proactive communicator, detailed oriented, fast learner, work in a collaborative team environment, and the ability to self-direct. A valid/clear driver's license is required.

Job Title: Systems & Network Infrastructure Engineer Location: Reno, NV & Walnut Creek, CA (Onsite) Duration:12 Months Contract Job Description: Network Engineer is a senior level engineering position within IT Services. The engineer is expected to provide technical leadership in supporting ITS's systems and network infrastructure in support of business operations. The engineer is expected to have expert level knowledge of technical architecture and infrastructure components (hardware, systems software, network topology and configuration). The engineer is expected to play a role in the evaluation, selection, design, and delivery of technical solutions to support application development projects and/or that support the technical infrastructure, while adhering to industry standards and best practices. This person is expected to be able to assign tasks and monitor the work of less senior engineers. Required Skills: • Hardware, operating systems, systems software, and communications technologies including VMware virtualization, RH Linux, Windows Server 2016+, and Intel-based servers. • Storage systems and applications including RAID, NAS, SAN, Veeam backup software. • Systems and network monitoring tools such as Logic Monitor, Datadog, etc. • Network technologies and products including Cisco routers, Cisco switches, Fortinet SD-WAN, TCP/IP, SMTP, SNMP, and Cisco Meraki wireless communications. • Email, collaboration, and office productivity tools such as Microsoft 365 and 8x8. • Security tools including Active Directory, Azure AD, Fortinet firewalls, Crowdstrike Falcon, Microsoft Defender 365, SIEM tools. • IT Service Management tools such as ServiceNow • Building and operating standardized/normalized, automated, secure, and self-service cloud platforms for engineering teams, Infrastructure as Code (IaC), and DevSecOps. Experience in Azure is highly desirable. • Bachelor's degree from a four-year college or university • Additional professional and management education is highly desirable. • 10+ years of experience as a senior systems and network engineer • Strong background in infrastructure technologies, have experience in a similar technical role in a multi-billion dollar global corporation, and possess evidence of distinguished performance in leading enterprise-wide technology and process transformations. ESSENTIAL JOB FUNCTIONS • Hands-on experience in ITS' technologies. Exhibits initiative to learn new technologies related to ITS's target architecture. • Designs enterprise-wide infrastructure solutions and their specifications and configuration. • Possesses a deep understanding of ITS's enterprise architecture, server and network hardware, network design, systems software and tools, and vendors. • Relied upon as an expert in relevant technical subject areas. Expert level skills in conducting evaluations and selection of new products and technologies being considered for use. • Able to apply business knowledge and insights to design sound solutions. Continually seeks to expand on business knowledge. • Provide 24X7 support for telecommunications, wired and wireless networking, computing &, storage infrastructure, and Azure cloud platform. • Implement necessary information security controls for all infrastructure components. • Work with vendors and service providers to ensure services are provided in an efficient and effective manner. • Communicate well in a small group setting. Able to present technical ideas and influence outcomes. • Proactive in providing input to principal-level engineers and/or managers with respect to technical issues or decisions under consideration. • Provides leadership in proactively recognizing and resolving issues. Continually strives to improve ITS's technical infrastructure and make improvements in processes and practices. • Works independently without supervision. Can be relied upon to deliver quality work. • Engage staff at all levels efficiently. Assign tasks and monitor the work of less senior engineers. • Perform On-Call responsibilities for production support of ITS enterprise infrastructure as needed. • This may be required on off-hours or on weekends. • Performs special projects as assigned. Thanks & Regards Vineeth Damarla Sr. BDM Delivery Manager

Real people. Real service. At , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we're dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a new Principal Backend Engineer to join our growing IT Team. This individual will report to our Sr. Director of IT, serve as a technical leader and system architect, guiding the design and delivery of scalable, reliable, and high-performance solutions across our e-commerce and internal platforms. You'll partner closely with senior leaders to define the long-term engineering vision and lead initiatives that strengthen system performance, scalability, and reliability. If you're an experienced technical leader who thrives on collaboration, mentorship, and building solutions that power business growth, we'd love to hear from you! This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. We reimburse reasonable and necessary travel expenses, and you're also welcome to work on-site anytime beyond these visits - our doors are always open! Role Type: Full-Time Location: Remote Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility Base Salary: $140,000 - $175,000 per year Responsibilities : Technical Strategy & Architecture Architect end-to-end software solutions using modern frameworks and design patterns aligned with scalability, performance, and maintainability goals. Lead system design discussions for high-traffic applications, ensuring robust architecture for business-critical services. Evaluate, recommend, and implement architectural improvements to enhance scalability, observability, and resilience. Define and uphold best practices for code quality, security, accessibility, and data privacy compliance. Project Leadership Lead complex, cross-functional projects from concept to delivery, aligning engineering solutions with business needs. Collaborate with product and business teams to define technical vision and ensure cohesive project execution. Oversee the technical implementation of new features and services, ensuring efficient use of system resources and infrastructure. System Engineering & Optimization Build and maintain distributed systems using Spring Boot microservices, Docker, and Kubernetes. Design and optimize high-performance databases using MySQL and Oracle, leveraging indexing and tuning for efficiency. Implement and manage Redis for caching, Eureka Server for service registration, and the ELK Stack for monitoring and analytics. Configure Nginx and Apache for load balancing and high availability across production systems. DevOps & Reliability Engineering Own and maintain CI/CD pipelines using Jenkins for automated builds, testing, and deployments. Ensure system health and stability through proactive monitoring, logging, and alerting strategies. Drive improvements in deployment automation, infrastructure as code, and site reliability practices. Leadership & Collaboration Act as a technical advisor and mentor, helping develop engineers' skills in architecture, design, and problem-solving. Conduct code and design reviews to maintain engineering excellence. Collaborate effectively with senior leadership and cross-departmental stakeholders to influence company-wide technical initiatives. Foster a culture of innovation, ownership, and accountability across the engineering organization. Requirements : Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Technology, or related field. 10+ years of experience in enterprise-level software development. Advanced proficiency in: Java , Spring Boot , Microservices Architecture MySQL , Oracle , and Redis React and modern front-end frameworks Docker , Kubernetes , Jenkins CI/CD Linux/UNIX , Nginx , Apache , and ELK Stack Deep understanding of data structures , algorithms , and system design principles . Proven ability to architect and deliver complex backend systems and mentor technical teams . Strong collaboration skills with the ability to influence senior leaders and align multiple teams toward shared goals. Why work with us: We have awesome benefits - We offer a wide variety of benefits to help support you and your loved ones. These include: Comprehensive and affordable medical, dental, vision, and voluntary life insurance options 401(k) with up to 4% company match Paid vacation, sick time, and holidays Company-paid basic life insurance and long-term disability Discounted auto, home, and pet insurance programs Flexible Spending Account (FSA) Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP) Company-provided equipment and one-time $250 work from home stipend $750 annual professional development budget $25 monthly Grubhub credit Company rewards and recognition program And more! We empower ownership - We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company's growth and accomplishments. We promote work-life balance - We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy! We support growth - We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget. We give back - We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more. We listen - We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day. Check us out and learn more at ! Additional Details: Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations. Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse may sponsor applicants for work visas in limited situations. is an Equal Opportunity Employer, strongly values inclusion, and encourages individuals of all backgrounds and experiences to apply for this position. To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills. We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations. All emails from the SupplyHouse team will only be sent from email address. Please exercise caution if you receive an email from an alternate domain.

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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).

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).

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).

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).

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. 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