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Jobs/Toronto/Data Scientist, Safety
Toronto, ON

Data Scientist, Safety

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.

Company
Lyft
Compensation
Not listed
Schedule
Full-Time
Role overview

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: - Leverage data and analytical frameworks to identify opportunities for improving community trust and safety - Partner with product managers, engineers, designers, marketers, and operators to translate insights into scalable, safety-forward decisions - Design and analyze online experiments; interpret and communicate results to influence product launch decisions - Build and monitor key metrics that reflect rider and driver safety, product health, and policy compliance - Develop rigorous measurement strategies to evaluate the effectiveness of safety features, interventions, and detection systems - Drive proactive risk identification and continuous improvement through analysis, experimentation, and iteration 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.

Responsibilities

Day-to-day expectations

Lyft lists these responsibilities for the Data Scientist, Safety role.

  • Leverage data and analytical frameworks to identify opportunities for improving community trust and safety
  • Partner with product managers, engineers, designers, marketers, and operators to translate insights into scalable, safety-forward decisions
  • Design and analyze online experiments; interpret and communicate results to influence product launch decisions
  • Build and monitor key metrics that reflect rider and driver safety, product health, and policy compliance
  • Develop rigorous measurement strategies to evaluate the effectiveness of safety features, interventions, and detection systems
  • Drive proactive risk identification and continuous improvement through analysis, experimentation, and iteration
Benefits

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
UpJobz market context

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Data Scientist, Safety 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.

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Next moves

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Interview themes

Data and AnalyticsOn-siteaillmmachine-learningresearch

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.
Role signals

Keywords to match against your background

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Next step

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Source: app.careerpuck.com Β· Source ID: 8509122002 Β· Confidence: 91/100 Β· Last checked: May 7, 2026

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