{"id":"f6fd4da6-ac32-4c64-aaed-78d88e3563db","title":"Sr. Analytics Engineer/ Data Scientist","company":{"id":"032429fa-38e9-4a17-9bbd-4a84a873ae5b","name":"Laurel","website":"https://laurel.ai","url":"https://yesjob.brogu.ca/companies/032429fa-38e9-4a17-9bbd-4a84a873ae5b"},"url":"https://yesjob.brogu.ca/jobs/f6fd4da6-ac32-4c64-aaed-78d88e3563db","apply_url":"https://jobs.ashbyhq.com/laurel/e1b5286e-a3de-406d-9858-006ce3643ab4/application","status":"open","location":"San Francisco, CA","locations":[{"city":"San Francisco","region":"CA","country":"US"},{"city":"New York","region":"NY","country":"US"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":["full_time"],"work_auth_required":"any_valid_permit","term":null,"salary_cad_per_year":{"max":328800,"min":298660},"languages_required":[],"seniority":"senior","first_seen_at":"2026-10-29T14:38:34.993Z","last_seen_at":"2026-11-08T06:36:20.269Z","salary_text":"$218K - $240K","summary":"- Senior Analytics Engineer/Data Scientist at Laurel (San Francisco), owning analytics from ingestion and modeling to ThoughtSpot dashboards, using SQL and Python.\n- Hybrid role: in the San Francisco office 3 days per week. Other US locations are considered case by case for exceptionally qualified candidates.\n- Requires 3+ years as a Data Scientist and a bachelor's degree or equivalent practical experience.\n- No visa sponsorship is offered, so you must already be authorized to work. Posted base is $218K-$240K, with a broader SF range of $205K-$249K stated in the body.","sources":["https://jobs.ashbyhq.com/laurel/e1b5286e-a3de-406d-9858-006ce3643ab4"]}