Associate Data Scientist

Frontier Technology Inc.Norfolk, VA
Hybrid

About The Position

FTI is hiring an Associate Data Scientist to support the Naval Safety Command in Norfolk, VA. As a member of the data science team, you will be working with a team of Data Scientists and Software Engineers to support the development, testing, and deployment of a series of advanced predictive analytics models using data sets that will help diagnose and predict precursors to Naval mishaps and safety hazards. This is a hybrid position with an on-site at the Naval Safety Command Center in Norfolk, VA. A DoD Secret Clearance is required for this position.

Requirements

  • Active Department of Defense (DoD) Secret Clearance
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a related field.
  • 1-2 years of practical data science/analytics experience (or a Master’s degree with substantive applied research/project experience).
  • Proficiency in Python or R, or a similar language
  • Practical experience with analytical and machine learning toolkits, such as Pandas, NumPy, Scikit-learn, SciPy, or related packages.
  • Foundational understanding of regression analysis, probability distributions, hypothesis testing, and simulation or Bayesian modeling techniques.

Nice To Haves

  • Ability to develop data visualizations and functional dashboards in Qlik, Tableau, or Python-based visualization packages.
  • Exposure to Databricks or Apache Spark

Responsibilities

  • Support in the designing, calibrating, and testing of a portfolio of predictive risk models to evaluate mishap risk for individual Navy communities.
  • Support analytical focus on extracting insights from data to make predictions, understand relations, and identify unusual patterns using approaches like time‑series/forecasting, causal inference, statistical modeling, and anomaly detection.
  • Support feature engineering, cross-validation, and creation of performance metrics (precision, recall) to minimize error and eliminate overfitting.
  • Partner with software engineers and senior data scientists to integrate features and transition analytical models into operational environments.
  • Participate in technical exchange meetings and assist in training personnel on model maintenance and interpretation.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service