Associate Data Scientist

About the Role

FTI Defense is seeking transitioning Navy service members to support the Navy mission through data science, predictive analytics, and AI-centric solutions. This role involves developing, testing, and deploying advanced predictive analytics models using Navy data to identify and predict precursors to mishaps and safety hazards. This is a hybrid position with onsite work at the Naval Safety Command Center in Norfolk, VA.

Key Responsibilities

• Support the design, calibration, and testing of predictive risk models used to evaluate mishap risk across Navy communities.
• Analyze operational data to identify relationships, trends, unusual patterns, and potential indicators of risk.
• Apply techniques such as statistical modeling, forecasting, time series analysis, anomaly detection, and predictive analytics.
• Support feature engineering, model testing, cross validation, and performance evaluation.
• Use Python, R, or similar programming languages and analytical tools to solve real-world Navy challenges.
• Partner with Data Scientists and Software Engineers to transition analytical models into operational environments.
• Participate in technical exchanges with Navy customers and help translate operational requirements and mission needs into analytical solutions.
• Apply existing understanding of Navy operations, terminology, processes, and mission requirements while expanding technical experience in AI and data science.

Requirements & Tech Stack

• Active Department of Defense Secret Clearance.
• Current or transitioning Navy service member with experience performing data analytics, operational analysis, programming, modeling, statistics, operations research, intelligence analysis, safety analysis, or other related technical work.
• Hands-on experience working with data to identify trends, solve problems, support decisions, or improve operational outcomes.
• Experience with Python, R, or another relevant programming or analytical language.
• Exposure to analytical or machine learning tools such as Pandas, NumPy, Scikit learn, SciPy, or comparable technologies.
• Understanding of statistical analysis, predictive modeling, probability, forecasting, simulation, machine learning, or related analytical methods gained through military training and experience.

Additional Experience (Beneficial but not required)

• Experience with Navy data environments, operational or safety data.
• Data visualization, dashboards, Qlik, Tableau, Databricks, Apache Spark, or Python-based visualization tools.