NewQuantitative Analytics Professional Freddie MacQuantitative Analytics ProfessionalMclean, VA$105,000–$157,000 / yearQualifying coursework may include -but is not limited to-data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis. We are seeking a Quantitative Analytics Professional who will be responsible for engaging the key Multifamily business partners to ensure the reasonableness and consistency of quantitative models, analytics and methodologies used in risk management and decision making in Multifamily business.
Applications Developer 495 Freedom Technology Solutions GroupApplications Developer 495Herndon, VirginiaThe candidate will be part of a team of Software Developers, ETL Developers, and Data Scientists to enhance existing production applications and build out new web services on a routinized production cadence to meet the evolving needs of users. Freedom Technology Solutions Group is seeking a Senior Full Stack Web Application Developer in Herndon VA to work on a suite of services that will supply users with tools to automate a wide range of enterprise-wide applications and data centric mission management applications.
NewCampus - Treasury & Capital Markets Program Intern (Quantitative Research Track) Fannie Mae CorpCampus - Treasury & Capital Markets Program Intern (Quantitative Research Track)Washington, DCAs an intern on our Treasury & Capital Markets team, you will work alongside market professionals on the Fannie Mae Market Room trading floor and gain hands-on exposure to the mortgage-backed securities (MBS) and broader mortgage-related fixed-income markets. This track is designed for students interested in applying mathematics, statistics, programming, data science, machine learning, artificial intelligence, and financial modeling to complex markets, trading, valuation, and risk-management problems.
Strategic Projects Lead, Public Sector - Cyber Scale AI, Inc.Strategic Projects Lead, Public Sector - CyberWashington, DC$139,200–$174,000 / yearYou will build human data labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of both our training and evaluation datasets. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Strategic Projects Lead, Public Sector - Cyber Scale AI IncStrategic Projects Lead, Public Sector - CyberWashington, DC$139,200–$174,000 / yearYou will build human data labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of both our training and evaluation datasets. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Director, Data Science Retail Services & Systems IncDirector, Data ScienceMD$174,900–$244,860 / yearThis role will lead multiple data science team members with a significant portfolio of initiatives to design, develop, and scale advanced analytics, machine learning, and AI solutions that drive meaningful business outcomes. Advanced Analytics and Machine Learning Leadership: Strong expertise guiding teams in developing, deploying, and scaling ML and AI solutions that deliver measurable business impact.
Sr Data Consultant System OneSr Data ConsultantVienna, VirginiaCreate effective data visualizations and dashboards utilizing PowerBI, Plotly, or similar tools to communicate insights clearly. Design, build, and optimize database systems; perform data mining and data modeling to enhance analytical capabilities.
NewSolution Architect AsurionSolution ArchitectSterling, VirginiaApplication Architecture & Systems Design: Expertise in designing scalable, secure, resilient, and highly available distributed systems, including application decomposition, domain-driven design, integration patterns, and modern architectural styles such as microservices and event-driven architectures. Artificial Intelligence & Machine Learning: Strong understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, Generative AI, Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration, model evaluation, and AI governance.
AI Architect VTGAI ArchitectChantilly, VirginiaFull timeThis role requires deep expertise in modern AI/ML architectures, including agentic AI systems, large language models (LLMs), autonomous workflows, AI evaluation frameworks, and production-grade machine learning operations (MLOps). The ideal candidate is both technically exceptional and customer-facing — capable of advising senior leadership, engaging directly with government and commercial stakeholders, and serving as a trusted authority on emerging AI technologies and best practices.
NewArtificial Intelligence Subject Matter Expert (CBP) Agile DefenseArtificial Intelligence Subject Matter Expert (CBP)Reston, Virginia$180,000–$235,000 / yearYou will design, test, and align AI and machine learning models so they perform reliably in a professional operational setting, working alongside program leadership, engineering teams, and the security staff who have to sign off on what you build before it runs against real data. Title: Artificial Intelligence Subject Matter Expert (AI SME) Clearance: Active Top Secret with SCI eligibility, ability to obtain and maintain a CBP Background Investigation (CBP BI) and EOD, active BI strongly preferred.
Lead AI Engineer (Vision model customization, VLM) Capital One Financial CorpLead AI Engineer (Vision model customization, VLM)McLean, VA$197,300–$225,100 / yearBasic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Senior Associate, Data Science Capital OneSenior Associate, Data ScienceMcLean, VirginiaCurrently 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 2 years of experience performing data analytics. 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.
Principal Quantitative Analyst - Global Finance Capital OnePrincipal Quantitative Analyst - Global FinanceMcLean, VirginiaCurrently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date: 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 in quantitative analytics. As a Quantitative Analyst 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 cloud 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.
Manager, Data Scientist - Bureau Data Strategy Capital OneManager, Data Scientist - Bureau Data StrategyMcLean, VirginiaCurrently 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 6 years of experience performing data analytics. 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.
Director, Data Scientist - External Data Strategy Capital OneDirector, Data Scientist - External Data StrategyMcLean, VirginiaCurrently 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 9 years of experience performing data analytics. 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.
Principal Researcher for AI Risk Management U.S. Department of CommercePrincipal Researcher for AI Risk ManagementWashington, DC$118,675–$197,200 / yearAn accredited organization must evaluate education completed outside of the U.S. to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education\''s website. You will maintain NIST\''s AI Risk Management Framework (AI RMF), develop related ITL guidelines such as the AI RMF Playbook, and foster community engagement to promote widespread AI RMF adoption and help others manage AI risk across sectors.
Principal Associate - Quantitative Analyst Capital OnePrincipal Associate - Quantitative AnalystMcLean, VirginiaCurrently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date: 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 in quantitative analytics. As a Quantitative Analyst 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 cloud 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.
Senior Associate, Quantitative Analyst - Model Risk Office Capital One Financial CorpSenior Associate, Quantitative Analyst - Model Risk OfficeMcLean, VA$135,600–$154,800 / yearBasic Qualifications: Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date: 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 1 year of experience in quantitative analytics. As a Quantitative Analyst 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 cloud 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.
Senior Machine Learning Engineer - Homes.com - Arlington, VA CoStar GroupSenior Machine Learning Engineer - Homes.com - Arlington, VAArlington, Virginia$166,000–$204,000 / yearThe engineer will work closely with software engineers, product leaders, and business stakeholders to develop, deploy, and optimize ML models across large-scale datasets, while helping evolve CoStar’s cloud-based machine learning platform. This Machine Learning Engineer role focuses on building and scaling production-grade machine learning solutions that directly enhance CoStar’s products and customer experience.
Senior Data Scientist/Machine Learning Engineer - TS/SCI with Poly (req-242) CATHEXISSenior Data Scientist/Machine Learning Engineer - TS/SCI with Poly (req-242)Tysons, VA$150,000–$190,000The Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.