Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership. As a Senior Data Scientist on Lime’s Rider DSA team, you will play a critical role in helping us understand our riders and uncover the drivers of retention. You’ll focus on experimentation, product analytics, and data deep-dives that surface actionable insights for product and business teams. Partnering with Product, Engineering, and Operations, you’ll help shape strategy on initiatives like early-funnel adoption, second-month retention, and loyalty programs—turning data into measurable impact across Lime. What You’ll Do: Design, run, and analyze experiments to optimize rider experience and improve retention outcomes. Define project goals, success metrics, and measurement frameworks to ensure clarity and alignment across initiatives. Deliver data-driven solutions by translating complex analyses into clear, actionable recommendations in compelling ways that influence strategy and roadmap decisions. Partner with Product and other teams to evaluate and refine retention-focused initiatives such as onboarding flows, memberships, and loyalty programs. Conduct deep-dive analyses to identify patterns, diagnose problems, and inform strategic decisions around rider engagement. Identify key “aha” moments that predict long-term retention and quantify their impact on rider behavior. About You: MS or PhD in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related quantitative field. 5+ years of industry experience as a Data Scientist, ideally in product analytics, growth, or consumer-facing platforms. Deep understanding of probability and statistics , including causal inference and experimental design. Proficiency in SQL and Python , with end-to-end experience with data—including querying, data manipulation, aggregation, analysis, visualization , and model deployment. Machine Learning & Modeling : Strong understanding of predictive modeling, price elasticity estimation, and customer segmentation techniques. Business Acumen : Business intuition for how retention and loyalty levers impact user growth and long-term value. Strong communication skills with the ability to convey technical concepts to non-technical stakeholders. U.S. Based Position - What We Offer Comprehensive Health & Wellness: A choice of medical, dental, and vision plans. We also provide company-paid life and disability insurance and company-funded mental health benefits. Financial & Retirement Planning: 401(k) plan with both pre-tax and Roth options, and access to a Health Savings Account (HSA) with a monthly company contribution. Family & Fertility Support: Paid parental leave for birthing and non-birthing parents, plus fertility and family-forming benefits. Paid Time Off: Unlimited vacation, paid leaves, and 10 company holidays. Unique Lime Perks: Complimentary use of Lime vehicles in participating cities, a monthly phone allowance, dedicated learning and development days, and access to perks including One Medical, Wellhub, and Headspace. The salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.