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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and statistical modeling, with a strong focus on analyzing real-world driving data and developing metrics for autonomous vehicles. Proven ability to lead technical projects, mentor teams, and present findings to senior leadership.
Highest-signal resume keywords
Expert Proficiency In SQLExpert Proficiency In PythonStatistical Modeling And InferenceExperience With Autonomous DrivingExperience Designing Metrics And Validating ML Models
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceStatistical ModelingDecision MakingUncertainty QuantificationBuilding Production-Quality AnalysesAnalyzing Geospatial DataMeasuring Model Failure ModesConnecting Point And Uncertainty EstimatesPerformance EvaluationBehavior Analysis
Soft Skills
MentoringPresenting ResultsLeading Technical Projects
Tools & Technologies
SparkPySparkScalaAI Tools
Industry Keywords
Autonomous VehiclesSafety-Critical SystemsSystem-Level VerificationValidationSimulation
Tech Stack
Tools & technologiesPySparkPythonScalaSparkSQL
About the role
Key responsibilities & impact- Work on fleet metrics, behavior analysis, and performance evaluation of autonomous vehicles on the Autonomy Software V&V team
- Analyze real-world driving data to identify patterns
- Measure autonomy performance and inform stack improvements
- Contribute to metrics platforms tracking miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across L3 development and production service fleets
Requirements
What you’ll need- Master's degree with 7+ years of experience, or PhD with 3+ years of experience, in data science, applied science, or a related quantitative role (Statistics, Mathematics, Computer Science, or a related field)
- Expert proficiency with SQL and/or Spark (PySpark or Scala) and Python
- Track record of building production-quality analyses and pipelines on large-scale (terabyte+) distributed data
- Deep expertise in statistical modeling, inference, and decision making, including uncertainty quantification
- History of connecting point and uncertainty estimates to high-stakes decisions
- Experience designing metrics and validating ML models, including computer vision, sensor-based, or perception models
- Experience discovering and measuring model failure modes
- Demonstrated track record of leading technical projects across teams
- Experience mentoring other data scientists or engineers
- Experience presenting results and recommendations to senior leadership
- Experience with autonomous driving, robotics, or other safety-critical systems, including system-level verification and validation or simulation
- Experience analyzing geospatial data and/or working with embeddings (e.g., similarity search, representation learning)
- Skilled at using AI tools to improve development efficiency and quality
Benefits
Comp & perks- Medical insurance
- Housing stipend
- Relocation assistance based on eligibility