Data Scientist

• Analyze structured and unstructured data using exploratory, statistical and machine-learning techniques.
• Query, clean and prepare data from HPDMS and other government-approved sources.
• Develop and validate predictive models for operator readiness, injury risk and program efficacy.
• Support NLP use cases on clinical or survey text within government-approved tools and datasets only.
• Build Power BI dashboards and executive reports; automate monthly and quarterly reporting.
• Support efficacy and ROI analyses of POTFF interventions.
• Document methods for reproducibility; brief non-technical leadership.
• Maintain DoW IL5, HIPAA and Privacy Act controls.

• Bachelor’s degree in a quantitative discipline (statistics, biostatistics, mathematics, data science, operations research, computer science, engineering, epidemiology, etc., or a behavioral science with a quantitative-methods concentration).
• Proficiency in Python or R, and SQL.
• Working knowledge of applied statistics and supervised/unsupervised machine learning.
• Visual analytics experience (Power BI preferred).
• Desired, not required: Databricks/PySpark, NLP/LLM familiarity, Power Platform, Palantir Foundry, human performance or clinical data experience.

Required Minimum Experience

Minimum 1 year applying data science or statistical methods; documented internship, capstone or project work in a bachelor’s program satisfies this.

Additional Requirements

• Proficiency with Microsoft Office.
• Document all encounters in HPDMS per USSOCOM Directive 10-12.
• For embedded field positions, where the task order requires: meet SOF training physical demands (hiking rough terrain, austere environments, aircraft and watercraft) and lift up to 25 kg.
• Maintain 100% compliance with local mandatory command training.