Workforce Analytics Data Scientist - CLEARED
About The Position
The Workforce Analytics Data Scientist will design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts. The role supports workforce optimization and leadership decision-making for a client supporting a major branch of the Armed Forces. The position is onsite at the Pentagon, with remote candidates considered if they are willing to travel once a month. Candidates must be U.S. citizens with an active Secret clearance under the federal government contract.
Requirements
- Experience in data science, statistical analysis, quantitative analysis, and forecasting.
- Proficiency in Python programming.
- Experience with data engineering and data integration.
- Experience developing data visualizations and dashboards.
- Experience with model validation and calibration.
- Active Secret clearance required on the first day of employment.
- U.S. citizenship is required.
Nice To Haves
- Experience with Discrete Event Simulation modeling.
- Experience using Envision.
- Experience with AnyLogic, Simio, SimPy, JaamSim, or FlexSim.
- Experience with workforce modeling or human capital analytics.
- Experience with linear or mixed-integer programming.
- Experience with Databricks.
- Experience in federal or Department of War (DoW) environments.
- Experience working with military personnel or readiness data.
Responsibilities
- Analyze, integrate, and prepare workforce, training, readiness, and force structure data from sources such as Envision, STARS DMOG, AFMA, ARM, LCOM, and AETC systems.
- Develop and maintain workforce flow models, net flow analyses, and workforce health assessments to identify key drivers, bottlenecks, and constraints across the 2A force generation enterprise.
- Design, develop, calibrate, and validate simulation models, including Discrete Event Simulation and System Dynamics, to evaluate workforce planning scenarios and force structure alternatives.
- Apply quantitative analysis and forecasting techniques to assess workforce trends and readiness impacts.
- Develop visualizations, dashboards, technical documentation, and analytical products to communicate findings and support leadership decision-making.
Benefits
- Benefits may include paid time off (PTO), medical, dental, and vision coverage, life insurance, long-term disability insurance, a 401(k) plan, and additional optional benefits.
- Competitive pay and multi-year projects.
- Career goal support and continued support in the field.
- Referral program that pays for qualified professionals referred and placed.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
