Data Scientist - Simulation (Secret cleared)

The posting, as Accenture Federal Services wrote it

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

The work

We're looking for a data scientist to build a production resource-allocation capability in Palantir Foundry. You will develop mathematical and simulation models that assemble and compare workforce teams under staffing, qualification, readiness, timing, equipment, and organizational constraints. The application will generate multiple courses of action, explain why alternatives differ, identify infeasible requests, assess organizational impact, and preserve capacity for future demands. This is a production decision-science role—not a reporting or notebook-only position. You will formulate optimization and/or simulation models, write tested Python, integrate models with Foundry Ontology and applications, and work directly with operational and domain experts.

Key Responsibilities

• Design and tune statistical simulation models (e.g., Monte Carlo , Discrete Event, Agent-based modeling ) 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.

Here is what you need

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

Preferred experience

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

As required by local law, Accenture Federal Services provides reasonable ranges of compensat
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ions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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