Senior Data Scientist, Payments & Fraud - Remote

Overview

The Senior Data Scientist specializing in Payments & Fraud at Lime will play a pivotal role in reducing revenue leakage, safeguarding platform integrity, and optimizing the user payment experience.

In Short

• Design and evaluate strategies to reduce fraud and abuse across promotions, referrals, refunds, and payment flows.
• Develop and improve machine learning models to detect high-risk behavior.
• Analyze data using A/B testing and causal inference to measure effectiveness in payments and fraud prevention.
• Identify key friction points in the payments funnel and collaborate to improve reliability.
• Build dashboards and reports to provide insights into fraud trends and payment performance.
• Collaborate on incident response for fraud events and ensure long-term prevention.
• Stay informed on evolving fraud tactics and payment technologies.

Requirements

• MS or PhD in Statistics, Economics, Computer Science, or related field.
• 5+ years of experience as a Data Scientist focused on payments and fraud detection.
• Deep understanding of probability and statistics.
• Proficiency in SQL and Python for data analysis and model deployment.
• Strong understanding of predictive modeling and customer segmentation.
• Strong business acumen regarding pricing and loyalty strategies.
• Excellent communication skills for conveying technical concepts.

Benefits

• Opportunity to make a significant impact in a leading company.
• Supportive and diverse work environment.
• Flexible working arrangements.
• Professional development opportunities.
• Equal Opportunity Employer commitment.