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Tech Stack
Tools & technologiesAWSPythonRaySQL
About the role
Key responsibilities & impact- Lead the strategic vision and execution for extracting intelligence from petabyte-scale on-road fleet data and simulation ecosystems
- Build advanced data-driven methodologies
- Develop predictive and generative models
- Serve as the primary analytical anchor for Systems Readiness and Performance/Metrics teams and the broader company
- Translate raw road data into high-fidelity performance metrics informing vehicle launch readiness and safety-critical decisions
- Execute rapid investigations into emergent fleet issues and convert operational data into insights for launch decisions
- Build statistical models evaluating vehicle safety and performance across environmental variables and Operational Design Domains
- Partner with Systems and Autonomy teams, including Perception, Prediction, and Planning
- Convert telemetry and rapid-response findings into strategy documents, visualizations, and dashboards
- Mentor and scale a dedicated four-person team
Requirements
What you’ll need- 10+ years of professional experience leading data science or applied AI/ML initiatives
- At least 5 years scaling data-driven programs for autonomous driving, robotics, or complex safety-critical engineering systems
- Master’s degree or PhD in Data Science, Computer Science, Robotics, Mathematics, Physics, or a highly quantitative field
- Deep foundational knowledge in statistical analysis, density estimation, hypothesis testing, uncertainty quantification, and causal reasoning
- Mastery of Python, SQL, and data science infrastructure libraries
- Strong understanding of modern sequence modeling, including Transformers
- Experience with distributed compute scaling frameworks such as Ray and AWS
- Track record of translating ambiguous real-world performance questions into structured metric designs and concrete solution architectures
- Ability to communicate technical data patterns and trade-offs to engineering peers and C-suite executives
- Ability to influence cross-functional teams, resolve technical disagreements, and establish data-integrity best practices
- Ability to occasionally lift and move up to 50 pounds
- Willingness to travel 1–2 weeks each quarter to testing sites, mostly Las Vegas and other domestic locations
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) with a company match
- Health savings accounts
- Life insurance
- Pet insurance
- Hybrid schedule with in-office time or fully remote work
- Diversity, equity, and inclusion-focused workplace
- Reasonable accommodation for disabilities