Data Scientist

Job Family:

Data Science Consulting

Travel Required:

Up to 10%

Clearance Required:

Active Secret

What You Will Do:

· Perform exploratory, descriptive, diagnostic, and predictive data analysis to support Navy fraud analytics, audit readiness, internal controls effectiveness, and data-driven decision making.

· Develop, test, and maintain data models, dashboards, visualizations, and analytical products leveraging enterprise data sources and modern analytics platforms.

· Support the design and implementation of AI/ML models that improve forecasting, risk analysis, readiness optimization, and operational decision support capabilities.

· Collaborate with data engineers, architects, business analysts, and government stakeholders to gather requirements, validate data, identify trends, and recommend data-driven solutions.

· Analyze data quality issues, identify anomalies and inconsistencies, and support development of automated monitoring and reporting processes to improve data integrity and governance.

What You Will Need:

· An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

· Bachelor's degree

· THREE (3) or more years of experience performing data analysis, statistical modeling, business intelligence, data visualization, or related analytics work.

· Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Palantir, Python, R, SQL, or similar technologies.

What Would Be Nice To Have:

· Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, or a related quantitative field.

· Understanding of statistical analysis, predictive analytics, data modeling techniques, and data management best practices.

· Experience supporting Department of War, U.S. Navy, federal government, or large enterprise analytics programs.

· Familiarity with AI/ML/Data Science frameworks and techniques, including predictive modeling, classification, clustering, natural language processing, or optimization methods.

· Experience working with cloud-based analytics environments such as Advana/War Data Platform, Databricks, Palantir, AWS, Azure, or similar enterprise data platforms.

· Knowledge of Power Platform, Databricks, Palantir Foundry, business intelligence architecture, data governance principles, and data quality management practices.

· Experience communicating analytical findings through executive briefings, dashboards, technical reports, and presentations to both technical and non-technical stakeholders.