Lead Data Scientist, Autonomous Driving
Lead analytics and experimentation for autonomous driving evaluation. Hands-on with statistical analysis, metrics definition, and pipeline automation while mentoring analysts and shaping team direction.
About the job
What You’ll Do
- Understand the technology deeply. Go deep into autonomous driving technology across behavior and hardware. Evaluate platform health and system behavior, and define the right metrics and metric hierarchy to quantify technology quality.
- Help build and lead the team. Contribute to team formation, take part in hiring and leveling up analysts, and set direction for an evaluation focus area while collaborating with technology leaders and with teams that build data infrastructure and analytics tools.
- Be hands-on with experiments. Design, run, and interpret experiments using solid statistical methods. Be ready to analyze results yourself and translate them into well-supported decisions.
- Build and automate analysis. Collaborate with data engineers and backend developers to assemble datasets and productionize analysis pipelines that automate recurring computations with attention to performance and reliability.
What You’ll Need
- 4+ years in analytics for a large-scale or complex technology product.
- Strong background in statistical reasoning and methods for evaluating change and uncertainty.
- Strong Python and SQL; you can independently run experiments and ship analyses and pipelines end to end.
- Proven technical leadership, mentoring, and hiring experience in analytics.
Nice to Have
- Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework).
- Familiarity with the modern data stack and experience in data engineering.
- Background in autonomy or other technologically intensive domains.
Skills
Python, SQL, Statistical Analysis, Experiment Design, Data Engineering, Analytics Pipelines, Metrics Definition, Statistical Reasoning
Similar jobs
Data Science jobs
Chime
San Francisco, CA
The Senior Data Scientist will measure and forecast organic growth across SEO, ASO, and content, designing incrementality tests and attribution frameworks to guide investment. Requires 5+ years of organic growth or marketing analytics experience, advanced SQL, Python or R, and strong experimentation skills.
Square
Seattle, WALeads data science for Support and Risk Operations by developing measurement systems, experiments, forecasts, and decision frameworks. Requires advanced SQL, strong statistical and product judgment, AI-assisted analytical workflows, and 6–8+ years with a graduate degree or 12+ years with a bachelor’s degree.
Shield AI
Washington, DC
Leads operational analysis, modeling, simulation, and wargaming for autonomous aircraft systems, translating military mission insights into design decisions and capability improvements. Requires 5+ years of operational analysis or military operations research experience and expertise in defense modeling tools and modern simulation workflows.
Bestow
United States
Build and productionize machine learning models while developing LLM-powered, agentic analytics tools for business stakeholders. The role requires 5+ years of data science experience, strong Python and SQL skills, production ML expertise, and hands-on experience with LLM and agentic systems.
Fora
New York, NY
Senior Data Scientist who will own growth forecasting, operating models, scenario analysis, and strategic planning for executive leadership. Requires 5+ years in business data science or analytics, advanced SQL, quantitative modeling, and experience with modern cloud data tools.