At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment.You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products.Responsibilities:Lead and grow a high-performing team of data scientists and analysts with diverse backgroundsDefine and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experienceProvide strong technical guidance and coaching to the team on complex data science problemsChampion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and actionLead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product healthEnsure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategiesMentor and guide the professional and technical development of your team members; help develop their careers and assign projects tailored to their skill levels, work styles, and professional goalsMaintain a balance between building sustainable, high-impact projects and shipping quicklyLead the team in adopting AI-native data science and analytics workflows, embedding AI tooling across data exploration, modeling,



and insight deliveryPartner with the Lyft recruiting team to hire high-potential candidates from diverse backgroundsExperience:Advanced degree (MS or PhD) in a quantitative field such as Statistics, Applied Mathematics, Economics, Computer Science, or a related areaHands-on technical experience in experimentation, causal inference, or data science, preferably with applications in machine learning or marketplace dynamics2+ years of management experience building, leading, and mentoring data science teamsStrong expertise in statistics, experimental design, and causal inference, including A/B testing, multivariate testing, and incremental lift measurementStrong data storytelling and influence skills, with experience presenting insights and recommendations to senior leadersExperience launching and monitoring consumer-facing products and iterating through data-driven experimentation and metrics analysisExperience guiding teams through ambiguous, complex technical challenges to deliver impactful solutionsExperience building or operationalizing machine learning models (e.G., propensity, segmentation, churn, personalization) in partnership with engineeringExcellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiencesBenefits:Extended health and dental coverage options, along with life insurance and disability benefitsMental health benefitsFamily building benefitsChild care and pet benefitsAccess to a Lyft funded Health Care Savings AccountRRSP plan with company match to help save for your futureIn 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 serviceLyft 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 and Lyft ride creditsLyft is committed to creating an inclusive workforce that fosters belonging. 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. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.Lyft highly values having employees working in-office to foster a collaborative work workplace 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. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #HybridThe expected base pay range for this position in the Canada area is CAD $172,000 - CAD 215,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors 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.

📌 Data Science Manager, Rider App (Toronto)
🏢 Socotra
📍 Toronto