Senior Data Scientist, Trust and Safety
Job Description
Description
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.
The Community Safety organization is responsible for ensuring the trust and safety of our riders and drivers. We work every day to build a trusted community, foster safe interactions, manage risky situations, and deliver best-in-class support. As part of this team, you will play a critical role in making transportation safer for all.
We are looking for an experienced and highly motivated Senior Data Scientist to lead key initiatives that enhance the safety of Lyft’s community. You’ll work 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.
You’ll report to a Data Science Manager within the Rider & Safety Data Science team.
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.
Experience:
- Degree in a quantitative field such as Statistics, Economics, Applied Mathematics, Operations Research, or Engineering (advanced degrees preferred), or equivalent professional experience
- 5+ 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 interpretation
- 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
- Prior experience in Trust & Safety, or Platform Integrity domains is a plus
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
Company
Lyft
Location
Toronto
Country
Canada
Salary
150.000
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