Applied Scientist

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 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. Qualifications 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. Bonus/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. The US yearly salary range for this role is: $128,000 - $184,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: Competitive compensation and equity awards. Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full‑time employees only). 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 & virtually. As we grow, this list continues to evolve! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. #J-18808-Ljbffr Waabi