Quick Summary
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis.
- Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics). - BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar.
At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.
We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization.
- Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing.
- Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones.
- Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities.
- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs.
- Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data.
Requirements
~1 min read- Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics).
- BS/MS in a quantitative field such as 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/stakeholders
- Open-minded and collaborative team player with willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Nice to Have
~1 min read- Experience in the Autonomous Vehicle or Robotics industry.
- Experience with large scale databases and analytics
- Practical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement
Location & Eligibility
Listing Details
- Posted
- May 12, 2026
- First seen
- May 13, 2026
- Last seen
- May 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 70%
- Scored at
- May 13, 2026
Signal breakdown
Waabi is an AI company developing generative AI-powered autonomous driving technology for long-haul trucking, aiming for commercial deployment in 2025.
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Applied Scientist