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Senior Data Scientist (Machine Learning & Geospatial Analytics) - TS/SCI RequiredLeidos • Springfield, Missouri, United States
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Senior Data Scientist (Machine Learning & Geospatial Analytics) - TS/SCI Required

Leidos
  • US
    Springfield, Missouri, United States
  • US
    Springfield, Missouri, United States
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Über

Job Description Leidos is seeking a Senior Data Scientist with strong machine learning development and coding expertise to support a customer mission in Springfield, VA. Russian language proficiency is a strong plus.
An active TS/SCI clearance with willingness to obtain a Polygraph is required. The position focuses on advanced data science and machine learning development within a GEOINT mission space. The role requires coding, model development, and analytic problem‑solving skills, with the ability to integrate geospatial and multi‑source data to deliver mission impact.
The analyst will work closely with Intelligence Community partners, geographic names experts, and multi‑INT analysts to ensure imagery‑derived assessments are geospatially precise, linguistically accurate, and operationally relevant.
Primary Responsibilities
Design, develop, train, and deploy machine learning models to solve complex mission problems.
Write production‑quality code in Python (or similar) to support model development, testing, and deployment.
Structure disparate and unstructured data (imagery, text, geospatial features) into usable formats for quantitative analysis and fusion.
Develop and maintain scalable data pipelines to support automated analytic workflows.
Build and apply statistical models, machine learning algorithms, and data processing techniques for pattern detection and predictive analysis.
Generate automated workflows to improve efficiency, reproducibility, and scalability of analytic production.
Aggregate existing data stores and enable natural language processing (NLP) query capabilities using existing APIs.
Process and analyze large volumes of unstructured data and documents to extract mission‑relevant insights.
Integrate geospatial and multi‑source data into advanced analytic workflows.
Translate complex quantitative findings into clear, actionable insights through visualization and storytelling.
Collaborate with cross‑functional teams to deliver scalable, mission‑focused data science solutions.
Brief findings clearly and confidently to technical and non‑technical audiences.
Basic Qualifications
Active TS/SCI clearance with willingness to obtain a Polygraph.
Bachelor’s degree and 12+ years of relevant experience, or Master’s degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or a related field. Additional experience may be considered in lieu of a degree.
Demonstrated senior‑level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real‑world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open‑source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Experience operating effectively in fast‑paced, mission‑driven environments both independently and as part of a team.
Desired Qualifications
Russian language proficiency (ILR 2+ or higher).
Experience working with geospatial linguistics, toponymy, or foreign geographic data.
Regional expertise in Russian Federation and/or Russian‑influenced geographies.
Experience developing machine learning models or AI‑enabled analytics within national security or GEOINT environments.
Proficiency in Python for advanced analytics, automation, or data engineering workflows.
Experience developing ontologies, schemas, or knowledge graphs.
Experience integrating multi‑INT or multi‑source data into advanced analytic workflows.
Prior experience briefing senior government stakeholders.
Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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  • Springfield, Missouri, United States

Sprachkenntnisse

  • English
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