About the job
We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing.
Responsibilities
- Design scalable production frameworks for autonomy evaluation.
- Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself.
- Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.
- 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.
- Develop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes.
- Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows.
Qualifications
Minimum
- Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.
- MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.
- Strong command of Python/SQL for data analysis and prototyping
- Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.
- Experience working with internal cross-functional partners/stakeholders
Preferred
- Experience in the Autonomous Vehicle or Robotics industry
- Familiarity with Systems Verification and Validation
- Experience with large scale databases and analytics
- Experience with workflow automation/orchestration frameworks