Senior Fraud Data Scientist - Remote

Overview

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

In Short

• Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse.
• Design and implement rules engines, heuristics, and machine learning models to automatically detect and prevent fraudulent activity.
• Apply strong business acumen to rapidly identify actionable insights, analyze fraud patterns, and validate hypotheses.
• Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants.
• Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams.
• Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies.
• Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams.

Requirements

• Hands-on, proactive, and analytical professionals who are passionate about using data to solve complex, real-world problems.
• 3+ years of experience in fraud analytics, ideally within an e-commerce or retail environment.
• Prior experience in a startup or high-growth environment is preferred.
• Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field.
• Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling.
• Proficiency in SQL and experience in Python (pandas, NumPy, scikit-learn, etc.).
• Exceptional communication and stakeholder management skills, with a proven ability to work cross-functionally and influence outcomes.
• High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns.
• Empathetic, humble, and collaborative team player.
• Candidates must be located within the continental United States.

Benefits

• Working with a great team from diverse backgrounds in a collaborative and supportive environment.
• Competitive salary based on experience, with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Very generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.