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Data Scientist - Expert
Job in
Springfield, Fairfax County, Virginia, 22151, USA
Listed on 2026-05-20
Listing for:
Leidos
Full Time
position Listed on 2026-05-20
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst
Job Description & How to Apply Below
* Leidos is actively interviewing for a Data Scientist - Expert 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 Expert Level 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…
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