April 17, 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.
Martinsville, VA3 days ago
A fast-growing food manufacturing organization specializing in innovative private label, co-manufacturing, and foodservice solutions across the U.S. Known for its strong operational footprint, collaborative culture, and commitment to quality, the company partners with some of the nation’s leading brands to deliver high-volume, high-quality convenience food products. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. The role involves leveraging data science and analytics skills to support business objectives, requiring experience with various data technologies and methodologies.
June 19, 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.
li>Conduct system integration tests, qualification tests, and environmental tests to assess system performance, reliability, and compliance with customer specifications. Demonstrated experience in one or more of the following specific knowledge areas (as stated in the technical instruction): 1) Radio frequency hardware design and/or fabrication.
p>Download the Sparks Group mobile app from Apple App Store or Google Play.. Qualifications/Background Profile: - 5+ years of experience in data engineering, application development, data science, or related technical field.
Alexandria, VA30+ days ago
This individual will lead DLA‑SM’s analytical efforts to develop government‑wide priorities for critical material risk mitigation while also modernizing a Fortran‑based econometric model currently maintained on a mainframe at IDA (Institute for Denfense Analyses.) 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in realted field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.
5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte, and more—often with offers between $90,000 and $154,000 depending on role and expertise. SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer.
HII - Mission Technologies is currently seeking a Junior BI Developer/Analyst 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. • Develops business intelligence components supporting War Data Platform (WDP) Core Integration data operations by preparing structured datasets, building baseline dashboards, and conducting routine analytic validation across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS enclaves.
p>Download the Sparks Group mobile app from Apple App Store or Google Play.. You’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
p>Download the Sparks Group mobile app from Apple App Store or Google Play.. This role will focus on transforming raw HR data into scalable, reliable data systems while supporting automation initiatives, data governance, and advanced analytics capabilities.
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).
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. As a Software Engineer II in Microsoft’s Sovereign Cloud Security team, you’ll help design, deliver, and secure highly reliable services that underpin both internal security platforms and customer‑facing cloud offerings.
Collaboration skills will be required to work closely with other engineering teams to ensure services and systems are highly stable, meet performance Service level agreements (SLA), and meet the expectations of internal and external customers and users. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate.
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.
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
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.
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
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.
Chantilly, VA30+ days ago
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.
Virginia Beach, VA30+ days ago
supporting Maritime Operation Center – Exercise Support Team (MOC-EST) and Naval Surface Warfare Center- Corona (NSWC-Corona) in providing Navy LVC training throughout all assigned Areas of Responsibility (AORs). Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
Arlington, VA30+ days ago
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.
McLean, Virginia13 days ago
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.
This high-impact position focuses on enhancing a centralized data environment (CDE) that delivers auditable financial transaction data, improves transparency and accountability across DoW, and builds a robust common operating picture for senior leadership decision-making. Designs, models, documents, and governs the logical and conceptual data architectures, relationships, and schema evolutions for complex, enterprise-scale applications in support of tracking and accountability reforms.
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.
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.
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.
McLean, Virginia30+ days ago
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.
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.
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.
McLean, Virginia9 days ago
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. 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.
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.
Springfield, VA20 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.
Richmond, Virginia30+ days ago
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 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.
McLean, Virginia15 days ago
Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings.
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.
Sprinklr's unified platform provides powerful solutions for every customer-facing team - spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management - enabling enterprises to unify data, break down silos, and act on real-time insights. • Advanced presentation skills to share key insights with executives, senior leadership and business stakeholders Advanced presentation skills to share key insights with executives, senior leadership and business stakeholders.
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 Bachelors 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, youll be part of a team thats 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.
Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team. Responsibilities Include: Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to produce and analyze results, disseminate findings, and contribute to publications and presentations.
Experience with cloud-based analytics and data engineering platforms such as AWS, Azure, Databricks, Snowflake, Python, Spark, TensorFlow, PyTorch, or similar technologies, and relevant certifications such as Azure Data Engineer Associate, AWS Data Analytics Specialty, or equivalent. The Mid-Level Data Architect / Data Scientist supports the development and implementation of enterprise data architectures and analytics solutions supporting CDAO data-driven mission initiatives.