Data Scientist – Expert

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

• Bachelors degree in Data Science Computer Science Statistics Mathematics Engineering Physics or a related quantitative field.
• Minimum of 1215 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

• Masters 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 youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand 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.