Data Scientist Lead, Rider (Toronto)

Data Scientist Lead, Rider (Toronto)

24 Aug
|
Lyft
|
Toronto

24 Aug

Lyft

Toronto

Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing. As a Data Scientist Lead in the Rider team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first. You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization. You will report to a Data Science Manager in the Rider & Safety Science team. Responsibilities: 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; communicate results andact on launch decisions Develop analytical frameworks to monitor business and product performance Establish metrics that measure the health of our products, as well as rider and driver experience Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 8+ years of industry experience in a data science or analytics 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 is helpful Experience in online experimentation and statistical analysis Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Access to a Health Care Savings

📌 Data Scientist Lead, Rider (Toronto)
🏢 Lyft
📍 Toronto

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