Position: Applied Data Scientist – Evaluation Waabi, founded by AI visionary Raquel Urtasun, leads in Physical AI, developing autonomous driving technology that powers commercial autonomous trucks and robotaxis. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, we’re rapidly expanding and seeking diverse, innovative, and collaborative candidates who want to impact the world positively. About Waabi We build next‑generation autonomous driving technology using 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 across simulation, track, and public‑road testing. Role Overview We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies that underpin our evaluation ecosystem. This senior technical role sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams, and will help co‑design and build rigorous frameworks that validate the Waabi Driver across all testing environments. Responsibilities Design scalable production frameworks for autonomy evaluation, applying statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive ODD coverage. Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure, ensuring our testing ecosystem remains a highly trusted source of truth. Prototype complex deep‑dive analyses, write production‑quality evaluation code, and build sophisticated tools and dashboards that synthesize progress for technical and executive leadership. Act as a key partner to Safety and Autonomy teams, ensuring that 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, quantifying the fidelity and predictive power of our evaluation metrics. Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping define best practices for end‑to‑end data science workflows. Qualifications 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 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. Bonus / Nice to Have 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. Compensation and Benefits The US yearly salary range for this role is $146,000 – $280,000 USD, plus competitive perks and benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. In addition to base salary, the role includes equity incentive awards and an annual performance bonus. Competitive compensation and equity awards. Health and wellness benefits for full‑time employees (Medical, Dental, Vision). Unlimited vacation. Flexible hours and work‑from‑home support. Daily drinks, snacks, and catered meals when in office. Regularly scheduled team‑building activities and social events both on‑site, off‑site, and virtually. As we grow, this list will evolve. Equal Opportunity Employment Waabi is an equal‑opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all employees. We consider applicants from all backgrounds and identities, across race, color, ethnicity, national origin, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, caregiver status, disability, and any other characteristic protected by law. We provide workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the hiring process, please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. Contact us for more information on how your data is processed. #J-18808-Ljbffr