Data Scientist - Decisions, Mapping
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.
Data Scientist - Decisions, Mapping at Lyft in Toronto. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. 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.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Leverage data and analytic frameworks to identify opportunities for growth and efficiency
- Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
- Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty
- Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope
- Design and analyze online experiments; communicate results and act on launch decisions
- Establish metrics that measure the health of our products, as well as rider and driver experience
What a strong candidate brings
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Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- 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
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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, mapping 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.
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