Data Scientist - Simulation (Secret cleared)

Accenture Federal Services • Arlington, VA

1d • $89,000 - $170,200 • Onsite

About The Position

Accenture Federal Services is seeking a data scientist to build a production resource-allocation capability in Palantir Foundry. The role develops mathematical and simulation models to assemble and compare workforce teams under staffing, qualification, readiness, timing, equipment, and organizational constraints. The application will generate multiple courses of action, explain differences among alternatives, identify infeasible requests, assess organizational impact, and preserve capacity for future demands. This is a production decision-science role involving optimization and/or simulation modeling, tested Python code, integration with Foundry Ontology and applications, and collaboration with operational and domain experts.

The data scientist will design and tune statistical simulation models, build predictive and forecasting models, conduct uncertainty and sensitivity analyses, validate assumptions with subject matter experts, and benchmark simulations and forecasts against optimization-based approaches. The role may also evaluate machine-learning applications as historical data becomes available. The position requires full-time onsite work in the DC area, an active Secret clearance, and US citizenship.

Requirements

• Bachelor's degree in Statistics, Data Science, Operations Research, Industrial Engineering, Applied Mathematics, or a related field.
• Experience in statistical and simulation modeling, using SimPy, AnyLogic, Mesa, SALib, or similar tools.
• Strong Python programming skills for statistical and scientific computing.
• Ability to work full-time onsite in the DC area.
• Active Secret clearance.
• US citizenship.

Nice To Haves

• Experience with linear or mathematical optimization or operations research.
• Experience with Palantir Foundry data science tooling.
• Healthcare or public sector domain experience.

Responsibilities

• Design and tune statistical simulation models, such as Monte Carlo, Discrete Event, and Agent-based models, underlying platform scoring.
• Build predictive and forecasting models, including time-series forecasting, to identify future operational trends.
• Conduct uncertainty and sensitivity analyses to quantify confidence in model outputs.
• Partner with subject matter experts to validate model assumptions and improve accuracy over time.
• Benchmark simulation and forecasting models against optimization-based approaches to ensure model validity and cross-validation.
• Evaluate opportunities to apply machine learning as historical data becomes available.
• Develop mathematical and simulation models to assemble and compare workforce teams under operational constraints.
• Write tested Python code and integrate models with Foundry Ontology and applications.
• Work directly with operational and domain experts.

Benefits

• Accenture Federal Services offers a wide variety of benefits; specific benefits are not listed in the posting.
• Hands-on experience, certifications, and industry training.

What This Job Offers

• Job Type: Full-time