Lead Data Scientist, Autonomous Driving

Job Title: Lead Data Scientist, Autonomous Driving

Work Location: Austin, TX

Job Type: Full-Time

Work Setting: Hybrid

Job Overview

The Lead Analyst, Autonomous Driving is responsible for leading evaluation, experimentation, and analytics for autonomous vehicle technology. This role focuses on integrating simulation, on-road, test, and human‑labeled data to assess system performance, safety readiness, and technology quality across behavior and hardware layers.

This position is designed for experienced analytics professionals who can lead a technical focus area while remaining hands‑on with data, experiments, and model outputs in a hybrid work environment supporting cross‑functional engineering and product teams.

Key Responsibilities

• Define and maintain metrics and metric hierarchies to measure autonomous driving system performance and safety readiness
• Analyze simulation, real‑world driving, test, and labeled data to evaluate end‑to‑end system behavior
• Lead an evaluation and experimentation focus area within the analytics organization
• Hire, mentor, and develop analysts within the team
• Design, execute, and interpret experiments using statistical methods
• Translate experimental results into actionable recommendations for stakeholders
• Perform hands‑on analysis of complex datasets using Python and SQL
• Build, maintain, and automate analytics pipelines with data engineering partners
• Collaborate with engineering, product, and infrastructure teams to ensure data accuracy and availability
• Monitor platform health, system behavior, and performance trends across operating conditions

Requirements

• 4+ years of analytics experience supporting a large‑scale or complex technology product
• Strong background in statistical reasoning and experimental methods
• Advanced proficiency in Python and SQL for analysis and pipeline development
• Experience designing and running experiments end to end
• Proven experience leading, mentoring, and hiring analytics professionals

Preferred Qualifications

• Graduate degree in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field
• Experience with modern data stack and data engineering workflows
• Background in autonomous systems or other technically complex domains

Benefits

• Employer‑subsidized medical, dental, and vision insurance
• Employer‑paid disability and life insurance
• 401(k) retirement plan
• Generous paid time off
• Covered lunches and related employee benefits

Additional Details

• Hybrid work setting in Austin, Texas
• U.S. work authorization required
• Background check and onboarding verification required
• Interview process includes technical and cross‑functional interviews