{"id":"e72e89b2-10ab-4bb9-a009-1c5656a10dc9","title":"Data Science, Metrics","company":{"id":"23882316-4bac-4f5b-b291-339349ce1845","name":"Lyft","website":"https://app.careerpuck.com","url":"https://yesjob.brogu.ca/companies/23882316-4bac-4f5b-b291-339349ce1845"},"url":"https://yesjob.brogu.ca/jobs/e72e89b2-10ab-4bb9-a009-1c5656a10dc9","apply_url":"https://app.careerpuck.com/job-board/lyft/job/8811738002?gh_jid=8811738002","status":"open","location":"Toronto, Canada","locations":[{"city":"Toronto","region":null,"country":"CA"},{"city":"Toronto","region":"ON","country":"CA"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":["full_time"],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":{"max":135000,"min":108000},"languages_required":[],"seniority":null,"first_seen_at":"2026-11-05T21:25:03.353Z","last_seen_at":"2026-11-07T07:24:26.696Z","salary_text":null,"summary":"- Full-time hybrid Data Scientist on Lyft's Metrics team in Toronto; owns domain datasets, pipelines and business metrics.\n- Requires 3+ years in data science/analytics, strong SQL, and Python or R; quantitative degree preferred (or relevant experience).\n- Hybrid: in office at least 3 days/week (Mon, Wed, Thu). Work authorization not stated.\n- Base pay CAD $108,000–$135,000 per year, excluding equity, bonus and benefits.","sources":["https://app.careerpuck.com/job-board/lyft/job/8811738002?gh_jid=8811738002"]}