Senior Fraud Data Scientist - Extend

About Extend:

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.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.

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.

Life at Extend:

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.

Extend CCPA HR Notice

Last updated: 18 hours ago

Home Extend Jobs