{"id":"948b23db-2541-4d19-abb8-fa1ea80346ae","title":"Data Scientist","company":{"id":"fa223456-b35e-4a48-af36-53cc630fe26e","name":"Stripe","website":"https://stripe.com","url":"https://yesjob-web.pages.dev/companies/fa223456-b35e-4a48-af36-53cc630fe26e"},"url":"https://yesjob-web.pages.dev/jobs/948b23db-2541-4d19-abb8-fa1ea80346ae","apply_url":"https://stripe.com/jobs/search?gh_jid=5895430","status":"open","location":"Toronto","locations":[{"city":"Toronto","region":null,"country":"CA"},{"city":null,"region":null,"country":"CA"}],"workplace":null,"remote_eligible_countries":[],"employment_types":[],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":null,"first_seen_at":"2026-11-06T03:28:00.279Z","last_seen_at":"2026-11-15T12:29:23.944Z","salary_text":null,"summary":"- Stripe Data Scientist role in Toronto, aligned to Product, Finance, Payments, Security, Risk, Growth or Go-to-Market teams.\n- Experience is tiered by degree: PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.\n- Requires SQL and Python or R, cross-functional delivery, and clear communication of results.\n- The posting does not state workplace model, salary or work authorization.","sources":["https://stripe.com/jobs/search?gh_jid=5895430"]}