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Overview

At Lyft, our purpose is to serve and connect. We aim to cultivate a work environment where all team members belong and have the opportunity to thrive. As a Data Scientist on the Mapping team, you will collaborate with engineers, product managers, and designers to grow and improve the quality of recommended routes and the accuracy of travel time estimations. We are looking for a passionate, driven Data Scientist who is excited to dive into spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for rideshare drivers. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and analytical thinking to shape our mapping products and make business decisions that put customers first. This includes identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help solve impactful mapping problems, including: How do we improve the quality of our map data to improve our recommendations? How do we benchmark and measure the success of our services? How do we validate real-world features that affect our routing algorithms? Are we meeting our travel estimation promises to our customers? Responsibilities

Leverage data and analytic frameworks to identify opportunities for growth and efficiency Partner with product managers, engineers, and operators to translate analytical insights into decisions and actions, and implement products to drive business goals Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies,



and open-ended scope Design and analyze online experiments; communicate results and act on launch decisions Establish metrics that measure the health of our products, as well as rider and driver experience Identify and drive impact and alignment, shaping product and business strategy through data-centric presentations Contribute to the Science community (hiring, onboarding, documentation, knowledge-sharing, tooling improvements), helping make Decision Science at Lyft more effective and scalable Experiences

Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 3+ years experience in a data science role or analytics role Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration End-to-end experience with data, including querying, aggregation, analysis, and visualization 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, and machine learning libraries such as PyTorch, TensorFlow, Keras Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders Strong communication, critical thinking, and prioritization skills, including the ability to challenge assumptions, propose alternatives, and balance short-term vs. long-term tradeoffs Experience in applying machine learning techniques is a plus (e.g. reinforcement learning)



to solve customer problems Expertise in metric design, causal analysis, behavioral analytics, decision frameworks and measurement strategy is a plus Experience working with ETL pipelines 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 perks Access to a Lyft funded Health Care Savings Account RRSP plan with company match to help save for your future Flexible paid time off policy for salaried team members; 15 days PTO for hourly team members plus increases with years of service Lyft supports recent parents with 18 weeks of paid time off Subsidized commuter perks and Lyft ride credits Lyft is committed to creating an inclusive workforce that fosters belonging. We prohibit discrimination and strive for a healthy and safe workplace. Accommodation for persons with disabilities is provided upon request during the application and hiring process. Please contact your recruiter if you wish to make such a request. Lyft values having employees working in-office to foster a collaborative work environment and company culture. This role is in-office on a hybrid schedule — Team Members are expected to work in the office at least 3 days per week (Mondays, Wednesdays, and Thursdays). Hybrid roles offer 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 $108,000 - $135,000, not inclusive of potential equity offering, bonus, or benefits. Salary ranges depend on qualifications, experience, and location. Your recruiter can share more information during the hiring process. Lyft may use artificial intelligence to screen applicants; however, Lyft employees make the ultimate selection and hiring decisions. This job fills an existing vacancy.

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Apply on Kit Job: kitjob.ca/job/2g8x7l

📌 Data Scientist - Decisions, Mapping (Toronto)
🏢 Lyft
📍 Toronto