February 4, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists. This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist).
Work with data scientists and analysts to rapidly design, implement, test, and deploy applications capable of tackling complex analytical tasks using large datasets. The selected individuals will need to live in the DC Metro area to report to HQ in Arlington, VA twice per month (a minimum of 2 days per 2-week period on average).
Node Zero autonomous pen testing platform and (2) create and curate the training datasets required to enable future AI-powered cyber tools. Responsibilities: The Instructional Systems Developer (ISD) designs and develops training materials that prepare USCYBERCOMMAND personnel to (1) operationally use the Horizon3.ai
HII - Mission Technologies is currently seeking an Intermediate-level Data Engineer to work out of Fairfax, VA in support of the DoD/DoW Advana War Data Platform data integration and analytics environment designed to aggregate operational, intelligence, logistics, and sensor data from multiple domains, enable Joint All-Domain Command and Control (JADC2) by providing a common data fabric, and support AI/ML applications for predictive analytics, targeting, and mission planning. • Collaborates with platform, infrastructure, and data governance teams to incorporate architectural updates, security changes, and tool enhancements into ongoing operations, strengthening stability and mission value across all War Data Platform (WDP) Core Integration enclaves.
This role is fully remote, offering the opportunity to work on impactful projects that leverage artificial intelligence to improve operational efficiency, automate workflows, and support decision-making in secure government environments. * Design and Deploy AI/ML Solutions: Develop practical machine learning models and AI prototypes tailored to mission-critical government use cases such as workflow automation, document processing, and decision-support analytics.
HII - Mission Technologies is currently seeking an Intermediate-level Analytic Engineer to work out of Fairfax, VA in support of the DoD/DoW Advana War Data Platform designed to aggregate operational, intelligence, logistics, and sensor data from multiple domains, enable Joint All-Domain Command and Control (JADC2) by providing a common data fabric, and support AI/ML applications for predictive analytics, targeting, and mission planning. • Builds analytic transformations, query models, and feature-ready datasets using Databricks, Spark, Python, SQL, and Apache Airflow to enable mission analytics for Combatant Commands, Joint Staff elements, and interagency partners.
Arlington, VA30+ days ago
Collaborates with stakeholders to define enterprise data strategies, optimize pipelines (ETL/ELT), and incorporate technologies such as cloud platforms (e.g., AWS GovCloud, Azure Government), Big Data tools (e.g., Spark, Hadoop), and relational/NoSQL databases for secure, performant solutions. Applies big-picture thinking to map and align business processes with data requirements, ensuring holistic solutions that address collection from multiple sources, authoritative source identification, data formalization, and linkage through common, scalable architectures.
6 years relevant experience with Bachelors in related field; 4 years relevant experience with Masters in related field; or High School Diploma or equivalent and 10 years relevant experience. 3 years relevant experience with Bachelors in related field; 1 year relevant experience with Masters in related field; or High School Diploma or equivalent and 7 years relevant experience.
Chantilly, Virginia30+ days ago
li>Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloud‑based analytics environments, Experience with Agile delivery environments. Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.
Suitland, Maryland30+ days ago
p>Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. The ideal candidate will have a strong background in data science, advanced machine learning techniques, and a proven track record of developing and implementing innovative data solutions.
p>SAIC - Data Scientist in McLean, Virginia, United States Join our Talent Network >Talent Network Alumni Connect Current Employees Events Featured Locations Chantilly Charleston Colorado Springs Crane El Segundo Fort Meade Hampton Roads Hawaii Huntsville Reston San Diego Southern Maryland St. Louis Washington DC View All Locations Career Fields Business Management Cyber Cloud Data Science DevSecOps Electrical Engineering Mechanical Engineering Network Engineering Software Engineering Systems Engineering Technical Support View All Career Fields View All Jobs Candidate Resources Chantilly Charleston Colorado Springs Crane El Segundo Fort Meade Hampton Roads Hawaii Huntsville Reston San Diego Southern Maryland St. Louis Washington DC View All Locations Business Management Cyber Cloud Data Science DevSecOps Electrical Engineering Mechanical Engineering Network Engineering Software Engineering Systems Engineering Technical Support View All Career Fields. Data Scientist Job ID: T2600315 Location: McLean, VA, United States Date Posted: Mar 8, 2026 Category: Information Technology Subcategory: Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS/SCI_w/Poly Clearance Level: Must Be Able to Obtain None Potential for Remote Work: On-Site Benefits: Click here Share mail Apply Now >Apply Now >.
Chantilly, VA30+ days ago
p>Data Scientist I 1-4 years of experience supporting data analysis or analytics projects Familiarity with Python, R, SQL, or similar analytical tools Familiarity with tools such as Jupyter, Tableau, Power BI, or similar Basic understanding of statistics and data visualization Strong analytical and communication skills Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar. Data Scientist III Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field 10+ years of experience in data analytics or data science roles Strong proficiency with Python or R and SQL Experience with statistical analysis, modeling, or machine learning techniques Strong written and verbal communication skills Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloud-based analytics environments, Experience with Agile delivery environments.
Chantilly, VA30+ days ago
This role supports customers operating in classified environments and requires close collaboration with subject matter experts, designers, engineers, analysts, and mission stakeholders to deliver innovative, operationally relevant data science and AI solutions. Original Posting:January 14, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
In this role, the Senior Data Scientist II will lead analytic work using large administrative and claims-based data to support the implementation, evaluation, and ongoing monitoring of CMS Innovation Center (CMMI) models, Medicare and Medicaid programs, and related payment and delivery system reforms. Position Location Closes Senior Data Scientist II - Health Care Analytics - Chicago, DC or Remote Washington, DC, Remote Open until filled The Health Care Evaluation Research Department at NORC seeks a Senior Data Scientist II.
p>Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. The ideal candidate will have a strong background in data science, advanced machine learning techniques, and a proven track record of developing and implementing innovative data solutions.
Arlington, VA30+ days ago
p>We are seeking a highly skilled and motivated AI Utilization Specialist with robust data science acumen to support the Headquarters United States Air Force Strategic Deterrence and Nuclear Integration, Nuclear Systems Integration Division (AF/A10XC). Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services.
Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world's most complex, mission-critical challenges with AI. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage.
p>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.
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.
Fort Belvoir, VA30+ days ago
Bachelor’s degree in data science, statistics, computer science, mathematics, or a related field with 2+ years’ experience, or a Master’s degree in data science, statistics, computer science, mathematics, or a related field. You will support data-driven decision making by analyzing data, developing basic models, creating visualizations, and generating actionable insights as part of a multi-disciplinary team delivering analytical and software solutions for national security missions.
Falls Church, VA2 days ago
p>This team provides custom analytic findings and develops, maintains, and delivers decision support capability tools for DoD customers to include administrators and planners at Echelons I, II, and III. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
You will serve as a technical thought leader across GenAI initiatives, working closely with engineering, design, product, and data teams to build scalable, secure, and production‑ready systems using state‑of‑the‑art LLMs, RAG architectures, and AWS cloud services. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.
Fort Belvoir, VA30+ days ago
You will support data-driven decision making by analyzing data, developing basic models, creating visualizations, and generating actionable insights as part of a multi-disciplinary team delivering analytical and software solutions for national security missions. The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Journeyman Data Scientist to support a multi‑disciplinary team providing data analysis and visualization support across the Department of War (DoW) mission space.
Fort Belvoir, VA30+ days ago
You will support data-driven decision making by analyzing data, developing basic models, creating visualizations, and generating actionable insights as part of a multi-disciplinary team delivering analytical and software solutions for national security missions. The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Senior Data Scientist to support a multi‑disciplinary team providing data analysis and visualization support across the Department of War (DoW) mission space.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
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. 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 7 years of experience performing data analytics.
McLean, Virginia30+ days ago
ul>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.
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.
Washington, DC14 days ago
This vacancy is open to current permanent employees of the Department of Veterans Affair, Veterans Employment Opportunities Act, Military Spouses eligible, 30% or More Disabled Veterans, Schedule A, Peace Corp eligible, VA employees who are CTAP eligible, ICTAP eligible, P.L. 115.46 Sec 204 Appointment of qualified former VA career-career conditional employees, Reinstatement, Transfers, and Land Management eligible in the Washington, DC area. MINIMUM QUALIFICATION REQUIREMENT: You may qualify based on your experience and/or education as described below: GS-14 Level: Specialized Experience: One year of specialized experience (equivalent to the GS-13 grade level in the federal service); experience that equipped the applicant with the particular knowledge, skills and abilities (KSAs) and other characteristics to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled, in the normal line of progression for the occupation in the organization.
Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM). Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models.
p>Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
p>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 2 years of experience performing data analytics.
As a Data Scientist on Capital One's People Strategy & Analytics team, you'll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One's talent advantage.
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Washington, DC19 days ago
This role requires close collaboration with data engineering, architecture, application development, and operational teams to ensure AI/ML capabilities are production-ready, scalable, explainable, and integrated into enterprise workflows. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes.
Rockville, Maryland30+ days ago
Design and implement models within key AMT areas of interest including: Pharmaceutical supply chain and chemical synthesis; Novel drug manufacturing technologies such as flow chemistry, process analytical technologies (PAT), pharmaceutical 3D printing; Environmental impact and total lifecycle analysis of pharmaceutical manufacturing and optimization against environmental impacts, cost of production. • Independently design, create, validate, and continually refine scalable multivariate models using machine learning algorithms such as gradient boosting, partial least squares (PLS), support vector machines, and neural networks along with advanced feature engineering, validation, and .
Springfield, VA22 days ago
Working and leading other data scientist, you will architect end‑to‑end analytic workflows-data engineering, modeling, validation, cloud deployment-and translate mission needs into executable technical solutions. 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.
Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Must have previous Provider data experience working with leadership on provider data issues, accuracy, and provider data interactions with claims and claims platforms.
Responsibilities include, but are not limited to: Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.