Director of Data Science

What you'll do

• Lead rapid investigations of fleet issues and build statistical exposure models to assess vehicle safety and performance.
• Partner with Systems and Autonomy teams, and translate telemetry and analyses into strategy documents, visualizations, and dashboards.
• Mentor and scale a four-person team while establishing analytical rigor and data integrity practices.

What they ask for

• 10+ years leading data science or applied AI/ML initiatives, including at least 5 years scaling data-driven programs in autonomous driving, robotics, or safety-critical engineering.
• Master’s degree or PhD in Data Science, Computer Science, Robotics, Mathematics, Physics, or a highly quantitative field.
• Deep knowledge of statistical analysis, density estimation, hypothesis testing, uncertainty quantification, and causal reasoning.
• Mastery of Python, SQL, and data science infrastructure libraries; understanding of Transformers and distributed-compute scaling frameworks.

Nice to have

• Experience with reward functions or Inverse Reinforcement Learning (IRL); familiarity with physical AI, open-weights Vision-Language models (VLMs), or raw telemetry processing.
• Experience evaluating Perception, Prediction, or Motion Planning subsystems; familiarity with ISO 26262 and ISO 21448 (SOTIF).

Pay

$288,000 — $396,000 USD (base salary)

Tools

Python, SQL, Transformers, Ray, AWS, Inverse Reinforcement Learning (IRL), Vision-Language models (VLMs), ISO 26262

AI focus

Develops predictive and generative models and data-driven methods for analyzing autonomous-vehicle fleet and simulation data, safety, and performance.