Associate Data Scientist

FTI - Frontier Technology Inc.

. Support the design, calibration, and testing of predictive risk models used to evaluate mishap risk across Navy communities .

Posted 9/30/2026full-timeNorfolk • Virginia • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive risk modeling, statistical analysis, and machine learning techniques, with proficiency in Python and R. Capable of analyzing complex data sets and developing operational AI solutions while maintaining a DoD Secret Clearance.

Highest-signal resume keywords

Predictive Risk ModelingStatistical AnalysisMachine Learning ToolkitsPython ProgrammingData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Time Series AnalysisCausal InferenceFeature EngineeringModel Performance EvaluationRegression AnalysisHypothesis TestingBayesian ModelingAnomaly DetectionData ScienceAnalytics

Tools & Technologies

PandasNumPyScikit-learnSciPyQlikTableauDatabricksApache Spark

Certifications & Qualifications

Active DoD Secret Clearance

Industry Keywords

Data ScienceStatisticsMathematicsOperations ResearchPredictive Analytics

Tech Stack

Tools & technologies

ApacheNumpyPandasPythonScikit-LearnSparkTableau

About the role

Key responsibilities & impact

Support the design, calibration, and testing of predictive risk models used to evaluate mishap risk across Navy communities
Analyze complex data to identify relationships, patterns, anomalies, and potential predictors
Apply time series analysis, forecasting, statistical modeling, causal inference, and anomaly detection
Perform feature engineering, cross-validation, and model performance evaluation using measures such as precision and recall
Apply Python, R, or similar programming languages to real-world data science challenges
Use tools and libraries such as Pandas, NumPy, Scikit-learn, SciPy, or comparable technologies
Partner with experienced Data Scientists and Software Engineers to transition analytical models from development into operational environments
Participate in technical exchange meetings
Gain exposure to deployment, maintenance, and interpretation of operational AI and predictive analytics solutions

Requirements

What you’ll need

Active Department of Defense (DoD) Secret Clearance required
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, R, or a similar programming 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, simulation, or Bayesian modeling techniques
Master's degree completed or in progress in a related technical field, or current PhD studies encouraged
Hands-on data science or analytics experience through graduate research, capstone project, thesis, internship, research assistantship, or other substantive academic project
Exposure to machine learning and analytical libraries such as Pandas, NumPy, Scikit-learn, SciPy, or related tools
Preferred: ability to develop data visualizations and functional dashboards in Qlik, Tableau, or Python-based visualization packages
Preferred: exposure to Databricks or Apache Spark

Benefits

Comp & perks

Equal opportunity employer
Opportunity to work alongside experienced technical professionals
Exposure to real-world AI-centric solutions and operational predictive analytics
Career development opportunity for early-career data scientists
Exposure to deployment, maintenance, and interpretation of operational AI and predictive analytics solutions