Frontier Technology Inc.

Data Scientist

ID
2026-6935
Category
Engineering
Type
Regular Full-Time
Location : Location
US-VA-Norfolk
Telecommute
No
Clearance Requirements
Secret

Overview

FTI is hiring a Data Scientist to support the Naval Safety Command in Norfolk, VA. As a member of the data science team, you will be working in a hybrid work environment to support the development, testing, and deployment of a series of advanced predictive analytics models using big data sets that will help diagnose and predict precursors to Naval mishaps and safety hazards. In this role, you will collaborate within a diverse program team comprised of FTI team members as well as Active-Duty Military and Government civilian employees. This position is on-site at the Naval Safety Command Center in Norfolk, VA. The candidate may also have space in the FTI Chesapeake office.

Responsibilities

• Support in the development of a portfolio of predictive risk models to estimate mishap risk for individual Navy communities. Leverage these models to identify areas of operational optimization and monitoring to reduce the risk of mishaps.
• Work in a collaborative environment to provide training to qualified Government personnel in the building, maintaining, and refining the portfolio of predictive analytics models.
• Assist with the collection and organization of multiple data types, including but not limited to manning, maintenance, readiness, operational tempo, command climate, and incident reports.
• Apply data science and inductive reasoning approaches to analyze this data and to find patterns to safety mishaps to allow senior leadership to implement risk mitigation measures.
• Participate in technical interchange meetings, analytical update meetings, program management reviews, and other meetings as required.

Education/Qualifications

  • Must have an active U.S. Department of Defense Secret Clearance.
  • 4+ years of data science experience with a Bachelor’s Degree in Business Analytics, Mathematics, Computer Science, or related field.
  • 2+ years of data science experience with a Master's Degree in Business Analytics, Mathematics, Computer Science, or related fields.
  • 2+ years of coding experience in Python, R, or a similar language.
  • Excellent verbal and written communication skills.

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