Data Scientist

MaxHP is hiring a Data Scientist. The Data Scientist applies statistical analysis, data mining, and machine learning to human performance, behavioral health, and readiness data to produce actionable insights, forecasts, and decision-support products for the POTFF enterprise. The Data Scientist frames analytical questions with Government stakeholders, prepares and explores data, selects and applies appropriate methods, validates results, and communicates findings to technical and non-technical audiences through reports, briefings, and visual analytics built on the Government-furnished technology stack.

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: Tucson, AZ; Coronado, CA; Washington, DC; Fort Walton Beach, FL; Tampa, FL; Fayetteville, NC; Jacksonville, NC; Clovis, NM.

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:

• Interpret and analyze structured and unstructured data using exploratory, statistical, and machine-learning techniques grounded in the scientific method; frame relevant problems, hypotheses, and opportunities with Government stakeholders.
• Query, clean, transform, and prepare data from the Government-designated Human Performance System of Record (e.g., HPDMS) and other Government-approved sources for analysis, using the curated datasets maintained by the Data Engineer where available.
• Develop, validate, and document predictive and prescriptive models, forecasting methods, clustering, and other advanced statistical techniques to generate actionable forecasts regarding operator readiness, injury risk, program efficacy, and performance optimization, as directed by the Government.
• Support text-heavy use cases using Natural Language Processing (NLP) techniques (e.g., cleaning, entity extraction, classification) to analyze unstructured clinical or survey data, and apply Large Language Model (LLM) and agent-style workflows only within Government-approved tools and datasets.
• Develop, deploy, and maintain visual analytics, dashboards, and executive reports using Government-furnished tools (e.g., Power BI, including semantic modeling and DAX), and integrate data products into low-code operational workflows (e.g., Microsoft Power Platform) where directed.
• Support Government-designed analyses and experiments that measure the validity, efficacy, and Return on Investment (ROI) of POTFF interventions, including computation of program-efficacy metrics as directed by the Government.
• Automate recurring analyses and the generation of required monthly and quarterly reports, reducing manual effort and improving accuracy.
• Document data sources, transformations, assumptions, methods, and validation procedures so that analyses are reproducible and can be transferred to other personnel.
• Communicate complex concepts, methods, and results clearly to non-technical command leadership and to clinical and performance staff, in writing and in briefings.
• Collaborate with embedded clinical and performance staff to identify opportunities for capturing data and improving the quality of input into Government systems.
• Maintain rigorous data quality, security, and privacy controls, including DoW Impact Level 5 (IL5), HIPAA, and Privacy Act protocols, in all analytic work.

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.
• Demonstrated proficiency in Python or R for data analysis, statistical modeling, and machine learning, and in SQL for querying relational data, demonstrated through professional work experience or degree-program projects.
• Working knowledge of applied statistics and of supervised and unsupervised machine-learning methods.
• Ability to prepare and clean data for analysis, including familiarity with data engineering concepts (ETL/ELT, data modeling basics, reproducible workflows, and version control with Git).
• Experience producing visual analytics and reports for decision-makers (Power BI preferred).
• Ability to communicate clearly with stakeholders and translate mission needs into analytical questions and outputs.
• Desired (not required): Experience with Databricks and Apache Spark (PySpark) or a comparable distributed processing system.
• Desired (not required): Familiarity with NLP and LLM use cases, including text preparation, evaluation datasets, and governance considerations.
• Desired (not required): Familiarity with the Microsoft Power Platform (Power Apps and Power Automate) and with Palantir Foundry.
• Desired (not required): Experience with web application development technologies (e.g., HTML, CSS, JavaScript, React, Django, or ASP.NET Core) or with deploying analytics into applications. Software engineering or web-development experience is not required.
• Desired (not required): Experience with human performance, sports science, health, clinical, or biomedical data.
• Minimum of one (1) year of experience applying data science or statistical methods to real-world problems.
• A bachelor’s degree program that included documented internship, cooperative-education, capstone, thesis, or project work applying data science methods to real-world data satisfies this 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

$90,400

Maximum Salary

$129,400