At Lyft, our purpose is to serve and connect. 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 fraud 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.

Prior experience in the fintech, fraud or identity space is preferred. Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models Build data pipelines and develop analytical frameworks to monitor business and product performance 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 ~ Extended health and dental coverage options, along with life insurance and disability perks Family building 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 believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

📌 Data Scientist - Data Science - F/H (Toronto)
🏢 Lyft
📍 Toronto