Jobs · Engineering · Virginia

Associate Data Scientist

FTI Defense - Frontier Technology Inc. · Norfolk, VA · 4 wk ago
On-siteEngineeringFull-time

About the Role

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 work with Data Scientists and Software Engineers to develop, test, and deploy advanced predictive analytics models. These models will help diagnose and predict precursors to Naval mishaps and safety hazards. This is a hybrid position with on-site work at the Naval Safety Command Center in Norfolk, VA. A DoD Secret Clearance is required.

Responsibilities

  • Support the design, calibration, and testing of predictive risk models to evaluate mishap risk for Navy communities.
  • Extract insights from data using techniques like time-series analysis, causal inference, statistical modeling, and anomaly detection.
  • Perform feature engineering, cross-validation, and create performance metrics (precision, recall) to minimize error and overfitting.
  • Collaborate with software engineers and senior data scientists to integrate features and transition models into operational environments.
  • Participate in technical exchange meetings and assist in training personnel on model maintenance and interpretation.

Qualifications

  • 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 applied research/project experience).
  • Proficiency in Python or R, or a similar language.
  • Practical experience with tools like Pandas, NumPy, Scikit-learn, SciPy, or related packages.
  • Foundational understanding of regression analysis, probability distributions, hypothesis testing, and simulation or Bayesian modeling techniques.

Preferred Skills

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

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