Data Scientist

Guidehouse•Washington, DC

9d•$98,000 - $163,000

About The Position

Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities supporting Navy Reserve readiness, operational optimization, and mission assurance. Lead development of analytics products, dashboards, and visualization tools that turn complex data into actionable insights for executives, operational leaders, and stakeholders. 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 digital modernization initiatives. The role requires an active, maintained Secret clearance and travel of up to 10%.

Requirements

Active and maintained Secret Federal or DoD security clearance.
Bachelor's degree.
Professional experience developing data analytics solutions, statistical models, machine learning algorithms, or advanced analytical products.
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 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, Pennsylvania; Norfolk, Virginia; or Washington, DC are highly preferred.

Responsibilities

Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities for Navy Reserve readiness, operational optimization, and mission assurance.
Lead development of data analytics products, dashboards, and visualization tools that provide actionable insights to executives, operational leaders, and stakeholders.
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 digital modernization initiatives.