extend
Senior Machine Learning Data Scientist
At a Glance
- Location
- United States
- Work Regime
- remote
- Compensation
- , Arize) Estimated Pay Range: $135,000 - $165,000 per year salaried* * The targ
- Posted
- 2026-07-31T16:48:54-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Requirements
Hands-on, proactive, and analytical professionals who are passionate about using data to solve complex, real-world problems
Strong proficiency in Python and SQL
Strong 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)
Experience with cloud ML platforms, particularly AWS (e.g., SageMaker)
Experience with graph data and graph-based models (e.g., PyTorch Geometric)
Compensation & Benefits
$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.
Responsibilities
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!
Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
About the Company
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.