Extend
Retail Technology
SeniorMachineLearningDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Data Scientist at Extend. Skills: Machine learning model development, Fraud detection, Risk assessment, Python, SQL. Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards. Translate complex fraud patterns into well-framed ML solutions”
What You'll Achieve.
Detect and prevent fraud; Assess risk; Unlock business value; Stop bad actors in their tracks; Reduce costs; Increase profits
Industry & Context.
Using data to solve complex, real-world problems; Tackle complex problems at the intersection of core machine learning and fraud prevention
What They're Looking For.
Must Have
Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field, 3+ years of work experience building and deploying machine learning systems into production, proficiency in Python and SQL, understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes, Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting frameworks), High attention to detail, intellectual curiosity, deep understanding of user behavior and fraud patterns, Candidates must be located within the continental United States
Nice to Have
Experience building fraud detection or risk assessment systems, Experience with cloud ML platforms, particularly AWS (e. g. , SageMaker), Experience with graph data and graph-based models (e. g. , PyTorch Geometric), Experience with model monitoring and observability tooling (e. g. , Arize)
What You'll Do.
Own the model lifecycle: requirements
Translate complex fraud patterns into well-framed ML solutions
Design and maintain feature engineering pipelines for model development
Monitor model quality in production
tracking performance over time
and determining when to retrain
what success looks like
and where ML adds value vs. simpler approaches
How You'll Work.
Team & Collaboration
Partner closely with Product, Engineering, and our Fraud Intelligence team; Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams; Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams
Full Job Description
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. 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. 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! What You’ll Be Doing: Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on dep
Applying for this Senior Machine Learning Data Scientist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Extend?
Real rants from real employees. Read before you apply.