Data Scientist

• Communicate regularly with client leadership regarding enterprise values, project direction, and mission objectives. • Identify the intersection between strategic business value, simulation-based forecasting , and achievable technical work within the logistics domain. • Articulate and translate complex business questions into technical solutions using available DoD data sources and mission-level modeling outputs . • Explore and analyze diverse datasets—including live telemetry and simulated environments —to identify meaningful entities, relationships, and trends. • Design and implement robust data ingestion and cleaning pipelines to ensure high-quality inputs for AI/ML models and stochastic simulations . • Develop applications, simulation dashboards , and effective data visualizations to communicate complex insights and scenario outcomes to non-technical stakeholders. • Serve as a technical ambassador for executive DoD leadership to sponsor and grow data literacy and modeling proficiency across the enterprise.

• Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). • Experience integrating simulation data into enterprise-level platforms (e.g., Advana, MAVEN, or C2IE). • Experience developing within cloud-based platforms (e.g., AWS, Azure, or GovCloud). • Experience with large-scale data processing tools and distributed computing frameworks (e.g., Spark, Databricks). • Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny ). • Familiarity with DoD logistics data, USCENTCOM mission sets, and Joint Staff modeling requirements .