Data Scientist – Advisor

General Dynamics Information Technology

. Lead the Enterprise Data and Analytics function .

Posted 10/14/2026full-timeUnited StatesSeniorLead💰 $128,039 - $173,229 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science and analytics teams, applying advanced statistical methods, and ensuring compliance with regulatory standards. Proficient in translating complex data into actionable insights for strategic decision-making and program evaluation.

Highest-signal resume keywords

Data Science LeadershipStatistical AnalysisAgile Project ManagementPython or R ProficiencyProgram Evaluation Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData ScienceResearch MethodsStudy DesignProgram EvaluationPythonRSQLPredictive ModelingData Governance

Soft Skills

Effective CommunicationStakeholder RelationsNegotiationTeam LeadershipTraining and Development

Tools & Technologies

DatabricksApache SparkPower BIMicrosoft Power PlatformPalantir Foundry

Certifications & Qualifications

Agile CertificationScrum Certification

Industry Keywords

DoW ComplianceHIPAAPrivacy ActAI/ML PolicyHuman PerformanceSports ScienceBiomedical Research

Tech Stack

Tools & technologies

ApachePythonSparkSQL

About the role

Key responsibilities & impact

Lead the Enterprise Data and Analytics function
Plan, prioritize, assign, and review work of Data Engineers, Data Scientists, and Senior Data Scientists
Manage the analytical backlog using an Agile or comparable framework
Advise the Enterprise POTFF Director, Domain Leads, and Human Factors Council on research methodologies, data collection strategies, study design, and program evaluation
Design and oversee Government-directed program evaluations, analyses, and experiments measuring validity, efficacy, and ROI of POTFF interventions
Select statistical models and study designs and ensure data quality and defensible, reproducible methodology
Establish analytical standards, data governance practices, reporting methodologies, and performance-measurement frameworks
Ensure compliance with DoW Impact Level 5, HIPAA, Privacy Act, and applicable DoW AI/ML policy
Translate Government priorities into analytical requirements and support strategic planning with data-driven decision support
Support development of enterprise performance measures, executive dashboards, and readiness metrics
Prepare and deliver reports, briefings, and decision-support products to Government leadership
Consult with supported units and POTFF staff on data capture and interpretation of analytical products
Coordinate with USSOCOM Enterprise Data Team and other Government data organizations on data access, standards, and shared platforms
Perform advanced analysis when required and maintain currency in statistical analysis, data science, AI/ML, data engineering, and visualization technologies
Coordinate and advise on training and professional development of data science personnel

Requirements

What you’ll need

Top Secret clearance currently required; Secret or Top Secret clearance, or ability to obtain clearance, stated in location section
U.S. citizenship required
Master’s degree in a quantitative discipline with documented coursework or professional application in statistics, programming, and quantitative analysis; or bachelor’s degree in such a discipline with additional experience
Master’s path: minimum seven years of professional experience applying data science, statistics, or research methods to real-world problems, including at least two years supervising or leading analysts
Bachelor’s path: minimum ten years of such experience, including at least two years supervising or leading analysts
At least three years of hands-on practice as a data scientist, statistician, or equivalent analyst personally performing analyses
Degree-program work does not count toward the experience requirement
Expertise in research methods, study design, and program evaluation, including quantitative and qualitative methods
Advanced proficiency in Python or R and SQL
Experience delivering statistical or predictive models and decision-support products to organizational leadership
Supervisory experience leading a data science, analytics, or research team
Experience running a program or project of comparable scope
Ability to communicate effectively orally and in writing with senior leadership, negotiate complex issues, develop alternatives, and maintain stakeholder relations
Desired but not required: experience with human performance, sports science, health, clinical, or biomedical data or research
Desired but not required: Agile or Scrum certification or comparable training
Desired but not required: doctoral degree or peer-reviewed publications
Desired but not required: familiarity with Databricks, Apache Spark, Power BI, Microsoft Power Platform, and Palantir Foundry
Less than 10% travel required

Benefits

Comp & perks

401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Paid vacation and holidays
Medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan options
Paid sick and personal leave
Paid parental, military, bereavement and jury duty leave
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance
Full flex work weeks where possible