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Associate Data Scientist
FTI - Frontier Technology Inc.. Support the design, calibration, and testing of predictive risk models evaluating mishap risk for individual Navy communities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in predictive risk modeling, statistical analysis, and machine learning techniques to support the Naval Safety Command. Proficient in data extraction, feature engineering, and model evaluation to enhance safety and operational efficiency.
Highest-signal resume keywords
Active DoD Secret ClearanceBachelor's Degree in Data ScienceProficiency in Python or RExperience with Pandas and Scikit-learnFoundational Understanding of Regression Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive Risk ModelingStatistical ModelingAnomaly DetectionFeature EngineeringCross-ValidationPerformance MetricsRegression AnalysisHypothesis TestingBayesian ModelingMachine Learning
Soft Skills
CollaborationTrainingCommunication
Tools & Technologies
PandasNumPyScikit-learnSciPyQlikTableauDatabricksApache Spark
Certifications & Qualifications
Active DoD Secret Clearance
Industry Keywords
Naval Safety CommandPredictive AnalyticsData ScienceOperational EnvironmentsTime-Series Forecasting
Tech Stack
Tools & technologiesApacheNumpyPandasPythonScikit-LearnSparkTableau
About the role
Key responsibilities & impact- Support the design, calibration, and testing of predictive risk models evaluating mishap risk for individual Navy communities
- Extract insights from data to make predictions, understand relationships, and identify unusual patterns using time-series/forecasting, causal inference, statistical modeling, and anomaly detection
- Support feature engineering, cross-validation, and creation of performance metrics such as precision and 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
- Assist in training personnel on model maintenance and interpretation
- Support the Naval Safety Command through development, testing, and deployment of predictive analytics models diagnosing and predicting precursors to Naval mishaps and safety hazards
Requirements
What you’ll need- 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
- 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 employment
- Telecommute option indicated
- Regular full-time employment