{"id":14475,"url":"https://alion.io/job/waabi-applied-scientist","title":"Applied Scientist","company":{"id":4483,"name":"Waabi","domain":"waabi.ai","url":"https://alion.io/company/waabi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":88,"open_postings":57,"ghost_share":0,"stale_share":0.263,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada","San Francisco, United States","Pittsburgh, United States"],"countries":["CA","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":203000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-05-12T04:28:23Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-11-08T00:08:23Z","board_verified":true,"closed_at":null,"days_open":179,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":179},"description":"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.\nWe 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.\nYou will...\nCollaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing.\nDevelop 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.\nPartner 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.\nAct 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.\nProactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data.\nQualifications:\nMinimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics).\nBS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar.\nStrong command of SQL, and familiarity with Python for data manipulation and prototyping.\nExperience building clear, automated dashboards using modern BI tools or custom frameworks.\nExperience working with internal cross-functional partners/stakeholders\nOpen-minded and collaborative team player with willingness to help others\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\nBonus/nice to have:\nExperience in the Autonomous Vehicle or Robotics industry.\nExperience with large scale databases and analytics \nPractical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement","description_format":"text","description_chars":2621,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"},{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving"],"lifecycle":[{"event":"open","at":"2026-05-12T04:28:23Z"},{"event":"close","at":"2026-08-13T11:32:24Z"},{"event":"reopen","at":"2026-10-20T17:20:59Z"}],"visa":[{"country":"CA","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Positions approved through LMIA in 12 months: 3","filings_12m":3,"filings_prev_12m":0,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Talent Stream; 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