Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driving XP products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.
Leverage data and analytic frameworks to identify opportunities for growth and efficiency
Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
Design and analyze online experiments; 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
3+ years of industry experience in a data science or analytical role
Proficiency in SQL - able to write structured and effective queries on large data sets
Experience in programming, especially with data science and visualization libraries in Python or R
Experience in online experimentation and statistical analysis
Extended health and dental coverage options, along with life insurance and disability benefits
Family building benefits
Access to a Health Care Savings Account In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
4 Floating Holidays each calendar year prorated based off of date of hire
18 weeks of paid parental leave. 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.
📌 Data Scientist - Online (Toronto)
🏢 Lyft
📍 Toronto