Senior Data Scientist

F3EA Inc; Fort Bragg (NC); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

F3EA Inc. is seeking a senior analytics professional to apply advanced analytics to POTFF programs at Fort Bragg, NC. You will design data strategies, develop predictive models, and build decision-support visuals for technical and executive audiences.

Lead data governance practices, mentor analysts, and deliver clear briefings on findings, limitations, and recommendations. This onsite role requires U.S. citizenship and ability to obtain security clearance.

Qualifikationen

• 7+ years of analytics experience with a bachelor’s, or 5+ with a master’s.
• Advanced Python or R, SQL, statistics, and data visualization.
• Experience modeling, validating predictive models, and communicating uncertainty.
• Experience with sensitive health or operational data in governed environments.

Aufgaben

• Design analytical approaches, data strategies, and measures of effectiveness for POTFF programs.
• Acquire, clean, integrate, validate, and document data from multiple sources.
• Develop statistical, predictive, and ML models to identify trends and outcomes.
• Build and maintain dashboards and decision-support products for technical and executive audiences.
• Collaborate with POTFF domain professionals to improve data capture and metrics.
• Apply data-governance, privacy, security, quality-control, and version-control practices.
• Deliver clear briefings, technical reports, and written products covering findings and recommendations.
• Mentor analysts and contribute to analytic standards and reviews.

Kenntnisse

Python

R

SQL

Statistics

Data Visualization

Reproducible Workflows

Ausbildung

Bachelor’s or higher in quantitative field

Graduate degree in quantitative discipline

Tools

Power BI

Tableau

Git

MLOps

Cloud analytics platforms

Jobbeschreibung

Use advanced analytics to evaluate POTFF programs, uncover readiness and human-performance trends, and inform decision-making across the Special Operations enterprise.

Responsibilities

• Design analytical approaches, data strategies, and measures of effectiveness for POTFF programs and initiatives
• Acquire, clean, integrate, validate, and document structured and unstructured data from multiple authorized sources
• Develop statistical, predictive, and machine-learning models to identify trends, risks, relationships, and program outcomes
• Build and maintain reproducible analyses, dashboards, visualizations, and decision-support products for technical and executive audiences
• Collaborate with POTFF domain professionals to improve data capture, define meaningful metrics, and evaluate program effectiveness
• Apply data-governance, privacy, security, quality-control, and version-control practices across the analytics lifecycle
• Deliver clear briefings, technical reports, and written products covering findings, limitations, and recommendations
• Mentor analysts and contribute to analytic standards, peer review, and continuous improvement

Requirements

• Bachelor’s degree in data science, statistics, mathematics, computer science, operations research, engineering, public health, or related quantitative field
• At least 7 years of relevant analytics experience with a bachelor’s degree, or 5 years with a relevant master’s degree
• Advanced proficiency with Python or R, SQL, statistical modeling, data visualization, and reproducible analytical workflows
• Experience developing and validating predictive models, communicating uncertainty, and translating findings for nontechnical decision-makers
• Experience working with sensitive, health, personnel, readiness, or operational data in a governed environment

Technology Stack

• Python, R, SQL
• Power BI, Tableau
• Git, MLOps
• Cloud analytics platforms

Education and Preferred Qualifications

• Graduate degree in a relevant quantitative discipline
• Experience supporting DoD, USSOCOM, Special Operations, human performance, public health, or program evaluation missions
• Experience with Power BI or Tableau, cloud analytics platforms, Git, MLOps practices, and secure data environments
• Knowledge of research design, longitudinal analysis, survey methods, and human-subjects or health-data protections

Work Authorization and Security Clearance

• Ability to obtain and maintain a Secret or Top-Secret security clearance, depending on the position
• U.S. citizenship required

Work Environment and Physical Demands

• Primarily on site in an office and secure information environment
• Extended computer use; participation in meetings and briefings
• Occasional travel between supported facilities
• Reasonable accommodation may be made for qualified individuals

Location

• Fort Bragg, NC (onsite)

Notes

• This description is not comprehensive of all activities, duties, or responsibilities
• Duties may change at any time, with or without notice, based on contract and mission requirements