Senior Data Scientist, ML (Brokerage)
Join us in building the future of finance. Our mission is to democratize finance for all.
What this role actually needs.
Join us in building the future of finance. Our mission is to democratize finance for all. Responsibilities: - Build and improve recommendation system algorithms to personalize customer experiences across prediction markets and other product surfaces - Partner with product managers to identify areas for personalization and define measurable success criteria - Develop features and models that improve relevance and user interaction with our prediction markets offerings - Collaborate with software and machine learning engineers to design and implement scalable feature pipelines and the ranking systems - Design and run experiments to evaluate model performance and measure incremental impact on customer engagement Benefits: - Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. - Employer-paid life & disability insurance, fertility benefits, and mental health benefits. - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. Company context: Robinhood is the public financial-services company building investing, retirement, and crypto products in North America.
Day-to-day expectations
Robinhood lists these responsibilities for the Senior Data Scientist, ML (Brokerage) role.
- Build and improve recommendation system algorithms to personalize customer experiences across prediction markets and other product surfaces
- Partner with product managers to identify areas for personalization and define measurable success criteria
- Develop features and models that improve relevance and user interaction with our prediction markets offerings
- Collaborate with software and machine learning engineers to design and implement scalable feature pipelines and the ranking systems
- Design and run experiments to evaluate model performance and measure incremental impact on customer engagement
Why people would want this job
Robinhood published these compensation, benefits, or working-context details with the role.
- Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
Why this listing is more than a copied job post.
Senior Data Scientist, ML (Brokerage) is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
Canada tech market
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Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
Work authorization read
Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in Toronto should be compared against commute, local salary bands, and nearby employer demand.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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Source: boards.greenhouse.io · Source ID: 7482186 · Confidence: 91/100 · Last checked: May 7, 2026
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