Associate Data Scientist at FTI in US-VA-Norfolk

Job description

• 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.

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.

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).
• P roficiency 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.
• Ability to develop data visualizations and functional dashboards in Qlik, Tableau, or Python-based visualization packages.
• E xposure to Databricks or Apache Spark
• Options
• Apply for this job online Apply
• Share
• Email this job to a friend Refer
• Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
• Share on your newsfeed

Skills

Preferred

• Exposure to Databricks or Apache Spark