Applied Scientist – Autonomous Systems Evaluation

About the role

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI and is building the next generation of autonomous driving technology. We are looking for a hands‑on Applied Data Scientist to help drive a unified view of our multi‑faceted evaluation methodology.

Key responsibilities

• Collaborate with cross‑functional teams to provide comprehensive analysis on autonomy system performance across simulation, track, and public road testing.
• Develop and maintain sophisticated, cross‑modal dashboards that give a unified and trustworthy view of system performance and track progress toward critical milestones.
• Partner with Data Platform and Evaluation teams to evolve evaluation tooling and pipelines, ensuring scalability, automation, and validation of complex system requirements.
• Act as a key partner to Safety and Autonomy teams, ensuring automated reporting captures technical intent and KPI requirements.
• Proactively monitor and investigate metric anomalies to ensure stakeholders make decisions based on reliable, high‑fidelity data.

Required profile

• Minimum of 3+ years of professional experience in an analytical role such as Data Science, Systems Evaluation, or Product Analytics.
• BS/MS in a quantitative field (Computer Science, Engineering, Statistics, Physics, or similar).
• Strong command of SQL and familiarity with Python for data manipulation and prototyping.
• Experience building clear, automated dashboards using modern BI tools or custom frameworks.
• Experience working with internal cross‑functional partners and stakeholders.
• Open‑minded and collaborative team player with a willingness to help others.
• Passionate about self‑driving technologies, solving hard problems, and creating innovative solutions.

Required skills

• SQL
• Python
• BI tools