Data Scientist, Safety

Lyft • Toronto, ON

10d • $108,000 - $135,000 • Hybrid

About The Position

At Lyft, the purpose is to serve and connect by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety & Customer Care (SCC) organization manages over 1.7 million monthly customer interactions and is responsible for ensuring the trust and safety of riders and drivers. The team works daily to build a trusted community, foster safe interactions, manage risky situations, and deliver best-in-class support. As part of this team, the Data Scientist will play a critical role in making transportation safer for all. This experienced and highly motivated Data Scientist will join the Community Safety Data team to lead key initiatives that enhance the safety of Lyft’s community. The role involves working cross-functionally with product management, engineering, design, legal, research, and operations teams to build impactful safety features, models, and systems. This high-impact role requires deep customer empathy, insatiable curiosity to uncover platform risks; and competencies to explore large datasets, develop statistical models, and design data-driven strategies for products that provide safe and engaging experiences for customers.

Requirements

• Degree in a quantitative field such as Statistics, Economics, Applied Mathematics, Operations Research, or Engineering, or equivalent professional experience
• 3+ years of industry experience in data science or product analytics roles
• Proficiency in SQL with ability to write efficient queries on large, complex datasets
• Experience programming in Python or R, especially for data analysis, visualization, and modeling
• Strong foundation in statistical analysis and experimentation, including A/B testing design and/or Causal Inference techniques
• Excellent written and verbal communication skills with ability to influence cross-functional partners and executives, and translate data into compelling stories
• Self-starter with a curious mindset and a strong sense of ownership
• Ability to combine business intuition with the application of advanced solutions
• A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities, and an obsession for data quality

Nice To Haves

• Advanced degrees preferred
• Prior experience in Trust & Safety, or Platform Integrity domains is a plus

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
• Mentored junior data scientists by providing guidance, feedback, and support to accelerate their technical and soft skill growth and impact.

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
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level