Data Scientist

Key Responsibilities

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.

Required Experience/Clearance

An active Secret security clearance is required (TS/SCI eligibility preferred).

8+ years of professional experience in data science, analytics, or Operations Research.

Master’s degree from an accredited college or university in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, or related STEM field).

Proficiency in functional programming languages such as Python, R, or Scala.

Strong experience with Modeling & Simulation (M&S) frameworks (e.g., AFSIM, EADSIM, STORM, or similar mission-level tools).

Strong experience with database languages, specifically SQL.

Demonstrated ability to discern and apply appropriate statistical and probabilistic modeling approaches for different mission contexts.

Proven experience communicating key findings through technical visualizations, simulated course-of-action briefings, and technical reports.

Ability to work independently to recommend solutions while collaborating effectively within a cross-functional team.

Ability to travel up to 10% as required by the mission.

Desired Experience

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.