<div class="content-intro"><h3>About <a href="https://himalayas.app/companies/extend-app">Extend</a>:</h3><div><div><a href="https://himalayas.app/companies/extend-app">Extend</a> 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 <a href="https://himalayas.app/companies/extend-app">Extend</a>'s best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, <a href="https://himalayas.app/companies/extend-app">Extend</a> empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.</div><div><br>Today, <a href="https://himalayas.app/companies/extend-app">Extend</a> 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. <a href="https://himalayas.app/companies/extend-app">Extend</a> is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.</div></div></div><h3>About the Role:</h3><p>The Fraud &amp; Machine Learning team is the secret sauce behind <a href="https://himalayas.app/companies/extend-app">Extend</a>’s post-purchase protection platform. As a Senior ML Data Scientist, you will own the development of cutting-edge machine learning models based on signals and transactions from hundreds of millions of users to detect and prevent fraud, assess risk, and unlock business value.</p><p>You will drive the full data science lifecycle - from requirements and feature engineering through model development, evaluation, and monitoring. You’ll partner closely with Product, Engineering, and our Fraud Intelligence team to translate messy data into scalable, production-grade ML systems that stop bad actors in their tracks. If you’re impact-driven and excited to tackle complex problems at the intersection of core machine learning and fraud prevention, you’ll thrive on our team!</p><h3>What You’ll Be Doing:</h3><ul><li>Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure</li><li>Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches</li><li>Design and maintain feature engineering pipelines for model development</li><li>Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain</li><li>Partner closely with leadership, go-to-market, fraud operati