Senior Fraud Data Scientist

About the Role:

The Fraud & Machine Learning team is the secret sauce behind Extend’s post-purchase protection platform. We build cutting-edge analytics engines and machine learning models based on signals and transactions from hundreds of millions of users to detect and prevent fraud, drive smarter decisions, and unlock business value.

We love uncovering beautiful patterns in messy data to catch bad actors and stop fraud in its tracks. We’re builders at heart—equally comfortable developing from 0 to 1 as we are deploying scalable, production-grade systems. You’ll have the opportunity to shape new data science and analytics capabilities from the ground up.

If you’re data-obsessed, impact-driven, and excited to tackle complex problems at the intersection of machine learning and fraud prevention, you’ll thrive on our team. This is a high-ownership role where your work will directly protect retailers, enhance customer trust, and drive the company’s bottom line!

What You’ll Be Doing:

• 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

What We’re Looking For: 

• 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

Expected Pay Range: $135,000 - $165,000 per year salaried*

* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.