Director of Data Science
Core
Lead strategic vision and execution for extracting intelligence from petabyte-scale on-road fleet data and simulation ecosystems to support autonomous vehicle launch readiness and safety-critical decisions.
Role type
Director of Data Science (Strategic Leadership & Hands-on Analytics)
Builds
Advanced data-driven methodologies, predictive and generative models, high-fidelity performance metrics, and executive strategy documents.
Domain
Autonomous driving, robotics, safety-critical engineering systems
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical analysis, density estimation, hypothesis testing, uncertainty quantification, causal reasoning, Python, SQL, distributed compute scaling frameworks (Ray, AWS), sequence modeling (Transformers), system deconstruction, cross-functional technical influence
Preferred skills
Inverse Reinforcement Learning (IRL), reward function design, Vision-Language models (VLMs), functional safety engineering standards (ISO 26262, ISO 21448/SOTIF), onboard software subsystem evaluation (Perception, Prediction, Motion Planning)
Responsibilities
Execute fast-turnaround investigations on emergent fleet issues, build complex statistical models for exposure modeling, serve as primary analytical anchor for Systems and Autonomy teams, distill raw telemetry into high-level strategy documents and visualizations, mentor and scale a four-person data science team
Seniority
Director, strategic leadership with hands-on technical execution
