2026 PhD Graduate - Statistics and Data Science Johns Hopkins Applied Physics Laboratory2026 PhD Graduate - Statistics and Data ScienceLaurel, MarylandFull timeYou will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation’s strategic weapons systems throughout their lifecycle. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development.
Data Engineer – Classical Statistics & Machine Learning BLN24Data Engineer – Classical Statistics & Machine LearningMcLean, VAFull timeThis role works closely with SMEs across multiple program areas to understand source data, build reliable ETL/ingestion pipelines, and apply analytical methods — anomaly detection, statistical modeling, and machine learning — to support operational decision-making. This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze that data once it’s available).
Statistics Experts - PhD - AI Training - US Prolific Academic LtdStatistics Experts - PhD - AI Training - USWashington, DCWe've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development.
Open-Rank, Tenured/Tenure-Track Statistics Faculty George Mason UniversityOpen-Rank, Tenured/Tenure-Track Statistics FacultyFairfax, VirginiaThe mission of the George Mason University Department of Statistics is to pursue sound and reproducible research in statistics and data science; train and educate the next generation of statistics and data scientists in the changing landscape of computing and AI; promote the practice of statistical principles, evidence-based research, and unbiasedness in data collection and usage; and impact society through statistical innovations and interdisciplinary collaborations. The faculty member conducts independent and collaborative research in statistics or data science, teaches undergraduate and graduate courses, develops an independent, externally funded research program, supervises students, participates in all aspects of the department mission, including university, college and departmental governance, and performs professional and public service.
Adjunct Faculty - CAS Department Of Mathematics And Statistics (Open Continuous) American UniversityAdjunct Faculty - CAS Department Of Mathematics And Statistics (Open Continuous)Washington, DC$2,865–$3,941AU offers a competitive benefits package including a 200% matching retirement plan, tuition benefits for full-time staff and their families, several leadership development certificates, and has been recognized by the American Heart Association as a fit-friendly worksite. American University is a student-centered research institution located in Washington, DC, with highly-ranked schools and colleges, internationally-renowned faculty, and a reputation for creating meaningful change in the world.
NewInternships in Data Science, Math, Statistics or Operations Research Mitre CorpInternships in Data Science, Math, Statistics or Operations ResearchMcLean, VA$46,500–$58,000 / yearThis requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual. As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization.
Statistician/Data Analyst General Dynamics Information TechnologyStatistician/Data AnalystWashingtonThe ideal candidate will enhance and develop reporting and analytics capabilities, support forecast modeling, develop automated reporting solutions and dashboards, build briefing products, conduct analysis and deliver analytical results, and coordinate/implement data collection efforts. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.
Statistician/Data Analyst GD Information TechnologyStatistician/Data AnalystWashingtonThe ideal candidate will enhance and develop reporting and analytics capabilities, support forecast modeling, develop automated reporting solutions and dashboards, build briefing products, conduct analysis and deliver analytical results, and coordinate/implement data collection efforts. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.
Statistician III NORC at the University of ChicagoStatistician IIIWashington DC, WashingtonD. Experience in at least one of the following areas: demonstrated leadership in data visualization design, including expertise with tools such as R, Tableau, and Power BI for static and interactive visualizations; experience with data disclosure limitation and data privacy methods, including risk assessment and mitigation for public data releases; sampling, weighting, and variance estimation; and developing analytical pipelines and data workflows to support statistical analysis, data visualization, and AI/ML applications. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, statistical disclosure limitation, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI) that support NORC’s research.
Senior Associate, Quantitative Analyst - Commercial Credit Modeling Team Capital OneSenior Associate, Quantitative Analyst - Commercial Credit Modeling TeamMcLean, VirginiaAs 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. 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.
NewPrincipal 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.
Statistician Code360StatisticianHyattsville, MarylandRemoteIdentifying data priorities in the areas of health care resources and utilization; Plan and implement sample surveys and evaluation studies to address data priorities; Develop survey methodologies that address the unique data collection requirements of national surveys of health care providers and institutions; Apply sampling theory and design to complex, multi-stage national probability surveys of health care providers and institutions; Develop data reduction methods and analysis of data from national surveys of health care providers and institutions; Apply and modify established methods, modeling techniques, and procedures in conducting analysis to improve sample surveys or experimental designs and to conduct evaluations of data collection, reduction and processing. Prepare reports, manuals and other directives necessary to convey medical coding information and improve the quality of our data; Design and develop new mathematical statistical models, methods and/or techniques such as sample and survey designs for related data collection; Evaluate data resulting from application of mathematical statistic tools, model, method and techniques to the public health area; Contribute to various project reports and presentations, including memos summarizing interim project findings; reports describing final algorithm methodology and application; and presentations to stakeholders and Federal partners; and.
Lead Statistician HEOR Thermo Fisher ScientificLead Statistician HEORBethesda, MarylandPhD in Biostatistics/Statistics or related field with 4+ years of experience, MSc in Biostatistics/Statistics or related field with 6+ years of experience, or BSc in Biostatistics/Statistics or related field with 8+ years of experience. The Lead Statistician works with multi-disciplinary research teams to provide methodological expertise, leadership and strategic support at all stages of projects from planning to completion.
Sr Statistical Modeling Analyst Boeing Employees' Credit UnionSr Statistical Modeling AnalystWashingtonDevelop, re-develop, and calibrate statistical models using statistical analytical packages; including but not limited to: Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for credit decision scorecard, loss forecasting, reserving, and economic capital use cases. The Sr Statistical Modeling Analyst is responsible for the development and management of statistically derived credit risk modeling used by the credit union for loan or deposit originations, account management, collections, loan loss forecasting, capital plans and stress testing.
Data Scientist CymertekData ScientistChantilly, VirginiaData Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist, Quantitative Analyst, Big Data Specialist, etc. Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc.
Statistician and Mathematician Booz Allen HamiltonStatistician and MathematicianMcLean, District of Columbia$99,000–$225,000 / yearBachelor’s degree and 8+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Scientific Data Analyst ImagineeerScientific Data AnalystArlington, VirginiaNoteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of additional experience.
Weapon System Analyst Johns Hopkins Applied Physics LaboratoryWeapon System AnalystLaurel, MarylandFull timeDevelop and Refine Physics Models by creating and improve high-fidelity physics-based models of complex systems, including inertial navigation (accelerometers, gyroscopes) and missile/reentry dynamics. Perform Statistical Validation by leveraging real-world collected data to estimate underlying physics-based errors, using statistical methods to determine how well models predict actual system behavior.
Principal Associate, Data Analyst - Enterprise Risk Capital OnePrincipal Associate, Data Analyst - Enterprise RiskMcLean, VirginiaCurrently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. 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.
Principal Quantitative Modeler Capital OnePrincipal Quantitative ModelerMcLean, VirginiaPrincipal Quantitative Modeler As a Quantitative Modeler 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. 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 3 years of experience in quantitative analytics.