Data Scientist, Decisions - Verticals
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What this role actually needs.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: - Construct and fit statistical or optimization models to make production decisions such as changes to how we match riders and drivers; focusing on model proposal and offline model development - Leverage data and analytic frameworks to identify opportunities for growth and efficiency, recommending technical solutions to drive business impact - Design and analyze online experiments, including communicating results, acting on launch decisions, and recommending next steps based on learnings - Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action - Develop analytical frameworks to monitor business and product performance, leveraging experiments and causal inference - Establish metrics that measure the health of our products, the business, as well as the driver experience Benefits: - Extended health and dental coverage options, along with life insurance and disability benefits - Mental health benefits - Family building benefits - Child care and pet benefits - Access to a Lyft funded Health Care Savings Account - RRSP plan with company match to help save for your future Company context: Lyft operates a large-scale mobility platform with engineering, data, security, and product hiring across major North America metros.
Day-to-day expectations
Lyft lists these responsibilities for the Data Scientist, Decisions - Verticals role.
- Construct and fit statistical or optimization models to make production decisions such as changes to how we match riders and drivers; focusing on model proposal and offline model development
- Leverage data and analytic frameworks to identify opportunities for growth and efficiency, recommending technical solutions to drive business impact
- Design and analyze online experiments, including communicating results, acting on launch decisions, and recommending next steps based on learnings
- Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
- Develop analytical frameworks to monitor business and product performance, leveraging experiments and causal inference
- Establish metrics that measure the health of our products, the business, as well as the driver experience
Why people would want this job
Lyft published these compensation, benefits, or working-context details with the role.
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match to help save for your future
Why this listing is more than a copied job post.
Data Scientist, Decisions - Verticals 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
Canada roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
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: Canada residents. 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.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to data scientist, decisions - verticals is a high-signal on-site role in toronto, and it is most realistic for canada residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use canada residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from app.careerpuck.com, confirm the role is still active, then apply on the employer or ATS page.
Source: app.careerpuck.com · Source ID: 8495862002 · Confidence: 91/100 · Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs