{"id":"62f460f1-d1c6-48eb-995f-591bc85988cd","title":"Senior Staff Applied Scientist, Time Series & Demand Forecasting","company":{"id":"53ca4d9f-f01c-4abe-9230-e8b637a8e942","name":"Kinaxis Inc.","website":"https://kinaxis.com","url":"https://yesjob-web.pages.dev/companies/53ca4d9f-f01c-4abe-9230-e8b637a8e942"},"url":"https://yesjob-web.pages.dev/jobs/62f460f1-d1c6-48eb-995f-591bc85988cd","apply_url":"https://careers-kinaxis.icims.com/jobs/35574/job","status":"open","location":"Remote, UNAVAILABLE, Canada","locations":[{"city":null,"region":null,"country":"CA"}],"workplace":"remote","remote_eligible_countries":["CA"],"employment_types":["full_time"],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":"staff","first_seen_at":"2026-11-01T15:38:41.845Z","last_seen_at":"2026-11-10T10:23:52.054Z","salary_text":null,"summary":"- Senior Staff Applied Scientist owning forecasting science strategy and measurement for Kinaxis's demand forecasting platform; hands-on individual contributor with no direct reports.\n- Location: Ottawa and Toronto are hybrid; other Canadian locations are remote, so remote applicants outside those cities can apply.\n- Requires 8+ years of Python ML experience and a Master's degree in a quantitative field (Ph.D. preferred).\n- Full-time; work authorization requirements are not stated in the posting.","sources":["https://careers-kinaxis.icims.com/jobs/35574/job"]}