Data Scientist

Leidos • Springfield, VA

5d • Onsite

About The Position

Leidos is hiring a senior-most technical Data Scientist to lead the design, development, deployment, and optimization of advanced data science solutions supporting government mission objectives. The role serves as a subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. It requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.

The Data Scientist develops and operationalizes advanced analytics and AI solutions, builds and validates models, and architects end-to-end analytic workflows. The position applies quantitative methods to complex datasets and translates mission needs into technical solutions. It also supports governance, security, compliance, and responsible AI practices, while communicating findings and advising leadership on data science strategy and technology opportunities.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
• 12–15 years of relevant combined professional 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, including the ability to explain complex technical findings to diverse audiences.
• Active TS/SCI clearance and ability to be approved for a Poly.
• Knowledge or capability in 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 and integration, scientific computing libraries, visualization and dashboarding, model deployment and monitoring, and technical documentation and briefing development.

Nice To Haves

• 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 such as Spark or Databricks, and workflow orchestration tools.
• Familiarity with emerging AI technologies, tools, and methodologies and their applications, implications, and integration into geospatial and intelligence workflows.
• Knowledge of data architecture, data engineering, and enterprise analytics ecosystems.
• Experience briefing senior government leadership and mission stakeholders.

Responsibilities

• Lead development and operationalization of 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 government and mission-relevant sources.
• Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
• Architect analytic workflows spanning data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
• Apply advanced quantitative methods to derive actionable insights from large, complex 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 in 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior