Our client is an award winning global integrator supporting a major branch of our Armed Forces. They have a need for a Workforce Analytics Data Scientist. In this role you will design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts, supporting workforce optimization and leadership decision-making. This position is onsite at the Pentagon, open to remote candidates who are willing to travel one time a month
Per our Federal Government Contract, candidates must be U.S. Citizens with an ACTIVE SECRET CLEARANCE.
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.
Qualifications
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.
Preferred Qualifications:
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.
| Location | Washington, Dc, DC |
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