Data Scientist
Springfield, VA
- Pay
$92,300–166,850/yearAnnual period assumed — pay source
Pay Range: Pay Range $92,300.00 - $166,850.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.
Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
From the employer’s posting
Key Responsibilities Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools. Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.
Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources. Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery. Architect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
- Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
- Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
- Experience working with large, complex, and potentially disparate datasets in enterprise environments.
- Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
Preferred experience
- Master’s degree or Ph.D. in a relevant quantitative or technical discipline.
- Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
- Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
- Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
Qualification wording
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
Experience working with large, complex, and potentially disparate datasets in enterprise environments.
Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
Master’s degree or Ph.D. in a relevant quantitative or technical discipline.
Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
Education & alternatives
Basic Qualifications - Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field. - Minimum of 12–15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.
Preferred Qualifications - Master’s degree or Ph.D. in a relevant quantitative or technical discipline. - Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
Tools in this posting
- Python
- R
- SQL
- Databricks
- Spark
Source — Tool mentions in context
- Data wrangling, integration, and transformation - Python, R, SQL, and scientific computing libraries - Visualization and dashboarding tools
- Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods. - Strong programming experience in Python, R, SQL, or similar analytic languages. - Experience working with large, complex, and potentially disparate datasets in enterprise environments.
- Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments. - Experience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools. - Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
Posting record
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- Live
- First seen by us
- Oct 28, 2026 · today
- Recorded sightings
- 3
- Last seen by us
- Oct 29, 2026
- Reposted
- once since Aug 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
Leidos is actively interviewing for a Data Scientist to join our team in Springfield, VA.
Job Summary
Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.
Key Responsibilities
- Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.
- Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
- Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.
- Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
- Architect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
- Apply advanced quantitative methods to derive actionable insights from large, complex, and high-value datasets.
- Collaborate with domain experts, mission analysts, software engineers, and government personnel to translate mission needs into technical solutions.
- Evaluate model performance, quantify uncertainty, and ensure analytic validity, repeatability, and interpretability.
- Support data governance, security, compliance, and responsible AI practices within government mission environments.
- Prepare technical documentation, briefings, reports, white papers, and stakeholder presentations.
- Advise leadership on data science strategy, analytic methodology, capability gaps, and technology insertion opportunities.
Required Technical Skills
- Statistical modeling and inference
- Machine learning and artificial intelligence
- Predictive analytics and forecasting
- Data mining and pattern analysis
- Feature engineering and model evaluation
- Data wrangling, integration, and transformation
- Python, R, SQL, and scientific computing libraries
- Visualization and dashboarding tools
- Model deployment, monitoring, and lifecycle support
- Documentation, briefing development, and technical communication
Basic Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
- Minimum of 12–15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.
- Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
- Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
- Strong programming experience in Python, R, SQL, or similar analytic languages.
- Experience working with large, complex, and potentially disparate datasets in enterprise environments.
- Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
- Strong written and verbal communication skills with the ability to explain complex technical findings to diverse audiences.
- Active TS/SCI with ability to be approved for a Poly
Preferred Qualifications
- Master’s degree or Ph.D. in a relevant quantitative or technical discipline.
- Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
- Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
- Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
- Experience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools.
- Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
- Knowledge of data architecture, data engineering, and enterprise analytics ecosystems.
- Experience briefing senior government leadership and mission stakeholders.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
October 28, 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.
Pay Range:
Pay Range $92,300.00 - $166,850.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Range: Pay Range $92,300.00 - $166,850.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. 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.
- Location & working pattern
Springfield, VA
Job Summary Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments. Key Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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