Data Scientist

Guidehouse•Norfolk, VA

About The Position

The Data Scientist will design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities to support Navy Reserve readiness, operational optimization, and mission assurance objectives. The role leads development of analytics products, dashboards, and visualization tools that turn complex data into actionable insights for executives, operational leaders, and other stakeholders. The position applies statistical analysis, machine learning, data mining, and predictive modeling to assess trends, identify risks, optimize resource allocation, and improve decision-making. It collaborates with data engineers, architects, business analysts, and government stakeholders to define requirements, validate analytical approaches, and deliver data-driven recommendations. It also evaluates emerging analytics technologies, methodologies, and AI/ML capabilities to enhance enterprise data solutions and support digital modernization initiatives. Travel is required up to 10%, and an active, maintained Secret clearance is required.

Requirements

  • Active and maintained Secret Federal or DoD security clearance.
  • Bachelor's degree.
  • Experience developing data analytics solutions, statistical models, machine learning algorithms, or advanced analytical products in a professional environment.
  • Experience with Python, SQL, Jupyter Notebook, Databricks, R, or similar analytics and data science tools for data preparation, modeling, and visualization.
  • Experience building predictive, prescriptive, or forecasting models and communicating analytical findings to technical and non-technical stakeholders.

Nice To Haves

  • Experience with Palantir Foundry.
  • Master's degree in Data Science, Analytics, Statistics, Computer Science, Applied Mathematics, Operations Research, or a related field.
  • Experience supporting Department of Defense, U.S. Navy, federal government, or mission-focused analytics programs involving readiness reporting, workforce analytics, or operational optimization.
  • Experience developing AI/ML solutions, including predictive analytics, optimization models, natural language processing, anomaly detection, or decision-support tools.
  • Familiarity with enterprise analytics platforms such as Advana, Databricks, Azure Data Services, Power BI, Tableau, Qlik, or Microsoft Power Platform.
  • Experience leading analytic workstreams, mentoring junior analysts or data scientists, and presenting technical recommendations to senior leadership and executive stakeholders.
  • Candidates in Mechanicsburg, PA; Norfolk, VA; and Washington, DC are highly preferred.

Responsibilities

  • Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities supporting Navy Reserve readiness, operational optimization, and mission assurance.
  • Lead the development of data analytics products, dashboards, and visualization tools that transform complex data into actionable insights.
  • Apply statistical analysis, machine learning, data mining, and predictive modeling to assess trends, identify risks, optimize resource allocation, and improve decision-making.
  • Collaborate with data engineers, architects, business analysts, and government stakeholders to define requirements, validate analytical approaches, and deliver data-driven recommendations.
  • Evaluate emerging analytics technologies, methodologies, and AI/ML capabilities to enhance enterprise data solutions and support digital modernization initiatives.

Benefits

  • Medical, prescription, dental, and vision insurance.
  • Personal and family sick time and company-paid holidays.
  • May be eligible for a discretionary variable incentive bonus.
  • Parental leave and adoption assistance.
  • 401(k) retirement plan.
  • Basic and supplemental life insurance.
  • Health savings account.
  • Dental/vision and dependent care flexible spending accounts.
  • Short-term and long-term disability.
  • Student loan paydown.
  • Tuition reimbursement, personal development, and learning opportunities.
  • Skills development and certifications.
  • Employee referral program.
  • Corporate-sponsored events and community outreach.
  • Emergency backup childcare program.
  • Mobility stipend.
  • Flexible benefits package.
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