Waabi
Autonomous Transportation
AppliedScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist at Waabi. Skills: Data Science, Systems Evaluation, Product Analytics, Physical AI, autonomous driving technology, evaluation methodology, cross-modal analysis. 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 prog”
What You'll Achieve.
unified view of our multi-faceted evaluation methodology; comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization; unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones; ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities; ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs; making decisions based on reliable, high-fidelity data
Industry & Context.
solving hard problems
What They're Looking For.
Must Have
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, command of SQL, 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
Nice to Have
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
What You'll Do.
Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation)
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
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
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Experience working with internal cross-functional partners/stakeholders; Open-minded and collaborative team player with willingness to help others
Communication Scope
provide comprehensive analysis; deliver a comprehensive, cross-modal analysis; translates directly into actionable insights; ensuring that our automated reporting faithfully captures the technical intent and requirements; making decisions based on reliable, high-fidelity data
Full Job Description
## Description 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. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai 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. You will... - 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
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