Senior Data Scientist

MaxHP is hiring a Senior Data Scientist who performs the full range of Data Scientist responsibilities with greater independence, depth, and breadth, and serves as a technical lead for analyses of enterprise significance. The Senior Data Scientist leads complex analytical projects, reviews the methods and results of Data Scientists, instructs others in data science practices and tools, and represents the data science team in technical discussions with Government leadership, researchers, and clinicians. The Senior Data Scientist and the Data Scientist share the same core responsibilities; the Senior Data Scientist is distinguished by additional experience or training and by the leadership responsibilities below.

U.S. citizenship is required. Candidates must possess an active U.S. Government security clearance or be eligible to obtain and maintain a security clearance as required for contract performance.

This position is pending upon contract award.

Candidates should be willing to support POTFF Operations at one of the following locations: Coronado, CA; Washington, DC; Fort Walton Beach, FL; Fayetteville, NC; Jacksonville, NC.

At MaxHP, your expertise supports a mission that matters. As a joint venture between Maximus and Endurion, MaxHP brings together specialized capabilities and resources to support the POTFF Program, strengthening human performance, resilience, and mission readiness across the Special Operations community. Our professionals play an essential role in supporting the people behind the mission, helping Service members and their families remain strong, ready, and resilient. Here, your experience becomes part of something bigger: directly supporting those who serve at the highest levels of our Nation’s defense.

About the POTFF Program:

The Preservation of the Force and Family (POTFF) program supports U.S. Special Operations Forces (SOF) personnel and their families through an integrated, holistic approach to human performance, health, and readiness. The program brings together specialized professionals across physical, psychological, cognitive, social, and spiritual performance to strengthen resilience, optimize performance, and support long-term mission readiness and career longevity.

Essential Duties and Responsibilities:

• Perform all responsibilities of the Data Scientist labor category.

• Lead analytical projects of enterprise scope, including analyses that support Government-directed evaluations of program efficacy, Return on Investment (ROI), and preventative risk factors, and select methods, define validation approaches, and ensure results are defensible and reproducible.

• Review the analytical design, code, and results of Data Scientists for methodological soundness before delivery to the Government.

• Instruct and mentor Data Scientists and other contract personnel in data science practices, tools, and the Government-furnished technology stack.

• Develop and maintain analytical standards, business rules, model assumptions, validation procedures, and reproducible methodologies for the data science team, in coordination with the Data Science Advisor.

• Design, develop, and automate enterprise dashboards, executive scorecards, Key Performance Indicators (KPIs), Measures of Performance (MOPs), and Measures of Effectiveness (MOEs) as requested by the Government.

• Advise Government personnel on the appropriate use, limitations, and interpretation of analytical products and models.

Required Minimum Experience and Skills:

• Possess a bachelor’s degree in a quantitative discipline, including but not limited to statistics, biostatistics, mathematics, applied mathematics, data science, operations research, computer science, engineering, physics, economics or econometrics, epidemiology, geospatial science or geoinformatics, or psychology or another behavioral science with a quantitative-methods concentration, with documented coursework or professional application in statistics, programming, and quantitative analysis.

• Meet all qualifications of the Data Scientist labor category, with proficiency demonstrated through professional work experience rather than degree-program projects alone.

• Advanced proficiency in Python or R, with disciplined software practices (modular code, testing, version control), and in SQL.

• Demonstrated experience developing, validating, and delivering statistical or predictive models that informed organizational decisions.

• Demonstrated experience leading analytical projects and reviewing or mentoring the work of other analysts.

• Demonstrated knowledge of experimental or quasi-experimental design, causal inference, or program-evaluation methods used to evaluate intervention effectiveness.

• Desired (not required): A master’s degree in one of the disciplines listed above.

• Desired (not required): Experience with Databricks and Apache Spark (PySpark) or a comparable distributed processing system, and with NLP and LLM use cases.

• Desired (not required): Familiarity with the Microsoft Power Platform (Power Apps and Power Automate) and with Palantir Foundry.

• Desired (not required): Experience with human performance, sports science, health, clinical, or biomedical data.

• Desired (not required): A history of peer-reviewed publications or conference presentations.

• Minimum of five (5) years of professional experience applying data science or statistical methods to real-world problems, or a master’s degree in one of the disciplines listed above and a minimum of three (3) years of such experience. Degree-program work does not count toward the Senior Data Scientist experience requirement.

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Minimum Salary

$82,000

Maximum Salary

$154,000