Senior Data Scientist, Payments & Fraud

• Design and evaluate strategies to reduce fraud and abuse across promotions, referrals, refunds, and payment flows.
• Develop and improve machine learning models, rules-based systems, and heuristics to detect high-risk behavior while minimizing false positives.
• Analyze experimental and observational data using A/B testing and causal inference to measure the effectiveness of interventions in payments and fraud prevention.
• Identify and quantify key friction points in the payments funnel (e.g., latency, failure rates, PSP routing), and partner with Engineering to improve reliability and speed.
• Build dashboards, reports, and self-serve tools to empower teams with visibility into fraud trends, payment performance, uncollected revenue, and risk tradeoffs.
• Collaborate on incident response and root cause analyses for fraud and abuse events, ensuring rapid mitigation and long-term prevention.
• Stay informed on evolving fraud tactics, risk mitigation techniques, and payment technologies to proactively shape Lime's strategy.

This role contributes to Lime's mission of building a future where transportation is shared, affordable and carbon-free by reducing revenue leakage, safeguarding platform integrity, and optimizing the user payment experience, which supports the sustainability and growth of clean micromobility alternatives to car ownership.

• 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, with a focus on payments, fraud detection, risk mitigation, or user trust.
• 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: Strong intuition for how pricing and loyalty strategies impact revenue, customer behavior, and long-term retention.
• Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.

• 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.

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents, on a mission to build a future where transportation is shared, affordable and carbon-free through electric bikes and scooters that have powered more than one billion rides worldwide.