Senior Data Scientist, Payments & Fraud jobs in United States
info-icon
This job has closed.
company-logo

Lime · 3 weeks ago

Senior Data Scientist, Payments & Fraud

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. As a Senior Data Scientist specializing in Payments & Fraud, you will leverage data science and machine learning to detect and prevent fraud, optimize payment experiences, and provide insights that drive business efficiency. This role requires collaboration with various teams to ensure the integrity of Lime's payment ecosystem.

Last Mile TransportationMobile AppsRide SharingTransportation
check
H1B Sponsor Likelynote

Responsibilities

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

Qualification

Machine LearningSQLPythonStatisticsCausal InferenceData AnalysisRisk MitigationBusiness AcumenExperimental DesignCommunication Skills

Required

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
Strong understanding of predictive modeling, price elasticity estimation, and customer segmentation techniques
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

Benefits

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.

Company

Lime is an electric vehicle company that provides e-bike and e-scooter rental services.

H1B Sponsorship

Lime has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (22)
2023 (23)
2022 (39)
2021 (27)
2020 (33)

Funding

Current Stage
Late Stage
Total Funding
$1.46B
Key Investors
UBS O'ConnorUberKDDI Open Innovation Fund
2021-11-05Debt Financing· $105M
2021-11-04Convertible Note· $418M
2020-05-07Series D· $170M

Leadership Team

leader-logo
Wayne Ting
Chief Executive Officer
linkedin
leader-logo
Brad Bao
Co-Founder And Chairman
linkedin
Company data provided by crunchbase