{"id":"f8b74708-d602-4496-b8ab-4c9302d5c4fd","title":"Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)","company":{"id":"0ba36c79-7f98-4388-85f8-4a8011532e39","name":"Amazon","website":"https://amazon.jobs","url":"https://yesjob-web.pages.dev/companies/0ba36c79-7f98-4388-85f8-4a8011532e39"},"url":"https://yesjob-web.pages.dev/jobs/f8b74708-d602-4496-b8ab-4c9302d5c4fd","apply_url":"https://account.amazon.com/jobs/10399938/apply","status":"open","location":"Toronto, Ontario, Canada","locations":[{"city":"Toronto","region":"ON","country":"CA"}],"workplace":null,"remote_eligible_countries":[],"employment_types":["full_time"],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":{"max":327200,"min":195900},"languages_required":[],"seniority":"senior","first_seen_at":"2026-11-05T21:24:52.404Z","last_seen_at":"2026-11-05T21:24:52.404Z","salary_text":null,"summary":"- Senior Applied Scientist on Amazon Ads' Media Planning Science team (MADS) in Toronto, ON; full-time role with a posted base salary of 195,900–327,200 CAD per year.\n- Requires 3+ years building ML models for business applications, plus a PhD or a Master's with 6+ years of applied research experience; programming in Java, C++, Python or similar, and neural deep learning experience.\n- Work covers media planning models (reach/frequency, budget optimization), leading technical direction, mentoring junior scientists, and partnering with engineering to productionize.\n- Workplace model (onsite/hybrid/remote) and work authorization requirements are not stated in the posting.","sources":["https://www.amazon.jobs/en/jobs/10399938/senior-applied-scientist-measurement-ad-tech-and-data-science-mads"]}