Data Scientist, Decisions - Pay, Integrity & Identity

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world-class team of engineers, product managers, analysts, and other data scientists to help create best-in-class pay platforms, stop fraudulent actors from harming our riders & drivers, and build user trust on the Lyft platform. You will run experiments (A/B tests) and develop data-driven solutions to launch new features and remove the bad actors from the Lyft platform while maintaining a positive experience for genuine users. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving, and skilled communication.

• Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions.
• Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models.
• Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes.
• Partner with product managers, engineers, and operators to translate analytical insights into decisions and action.
• Build data pipelines and develop analytical frameworks to monitor business and product performance.
• Set business metrics that measure the health of our products, as well as passenger and driver experience.
• Collaborate with product and engineering and communicate findings to stakeholders in a clear and concise manner.

• Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees preferred), or relevant work experience.
• 4-6+ years of industry experience in a data science or analytical role.
• Proficiency in SQL - able to write structured and efficient queries on large data sets.
• Experience in programming, especially with data science and visualization libraries in Python or R.
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners.

• 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. 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.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience, and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.