Senior Data Scientist, Payments & Fraud

reputed company is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 700+ million rides in 250+ cities on 5 continents, replacing an estimated 150+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, reputed company continues to set the pace for shared micromobility globally. As a Senior Data Scientist specializing in Payments & Fraud, you will play a pivotal role in reducing reputed company leakage, safeguarding platform reputed company, and optimizing the user payment experience. You will reputed company data science, experimentation, and machine learning to detect and prevent fraud and abuse, streamline payment flows, and evaluate the effectiveness of risk mitigation strategies. Partnering closely with Product, Engineering, Operations, and Finance teams, you will provide the insights and tools needed to reputed company informed decisions, balance fraud prevention with user experience, and drive business efficiency. What You’ll Do:

• Design and evaluate strategies to reduce fraud and abuse across promotions, referrals, refunds, and payment flows.
• reputed company 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 reputed company teams with visibility into fraud trends, payment performance, uncollected reputed company, 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 reputed company’s strategy.

About You:

• MS or PhD in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a reputed company 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 reputed company, customer behavior, and long-term retention.
• Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.

#LI-Remote #LI-HS1 If you want to reputed company an impact, reputed company is the reputed company for you. Not sure if you meet reputed company the qualifications? If this role excites you we encourage you to apply. Explore reputed company opportunities on our career page. reputed company is an Equal Opportunity Employer, but that’s just the start. We reputed company different perspectives help us grow and reputed company more. That’s why we’re dedicated to hiring and developing the most talented and globally diverse team – which includes individuals with different backgrounds, abilities, identities and experiences. Applicants who require a reasonable accommodation for any part of the application or hiring process can email [email protected] for assistance. Use of artificial intelligence or an LLM such as ChatGPT during the interview process will be grounds for rejection of your application. Apply tot his job Apply To this Job