We are looking for an experienced and highly motivated Senior Data Scientist to lead key initiatives that enhance the safety of Lyft’s community. As part of the Community Safety organization, you will play a critical role in making transportation safer for all.
Requirements
- 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 Account
- RRSP plan 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
- 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
- Subsidized commuter benefits