---
title: 'Senior Machine Learning Data Scientist at Extend'
canonical: 'https://feeny.ai/job/senior-machine-learning-data-scientist-extend-united-states-4s07cv91wdx2'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Machine Learning Data Scientist at Extend

- **Company:** Extend
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-07-29
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/extend/jobs/6130367004

## 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 deployment and production infrastructure
- 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
- Design and maintain feature engineering pipelines for model development
- Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain
- 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:

Required:

- Hands-on, proactive, and analytical professionals who are passionate about using data to solve complex, real-world problems
- 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
- 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)
- 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

Preferred:

- 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)

Estimated 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.
- Generous, flexible paid time off policy.
- 401(k) with Financial Guidance from Morgan Stanley.

[Extend CCPA HR Notice](https://drive.google.com/file/d/1z8If6mE5Xlf6prfJDScpziEjDEdHvq_K/view?usp=sharing)

## About Extend

## Company Overview
- **One-liner**: Extend provides API-first product and shipping protection technology that helps brands turn post-purchase customer data into real-time intelligence to reduce fraud, protect margins, and increase loyalty.
- **Entity Type**: Private (Series C, backed by strategic investors)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: Not explicitly listed in the provided data, but Joe Moss is listed as Founder and CPO on LinkedIn.

## Core Business
- **Primary industry/industries**: Fintech / Insurtech (product protection, shipping protection, warranty services)
- **Target customers**: B2B – e-commerce merchants, manufacturers, and retailers (SMB to Enterprise)
- **Mission or purpose statement**: “Protect what people love” – reviving the product protection industry with modern, API-first technology.

## Products & Services
- **Shipping Protection**: Embedded protection for shipments, offering zero cost to merchants and pure profit from plan sales.
- **Product Protection & Extended Warranties**: API-first protection solutions for a wide range of products (apparel, beauty, furniture, electronics, etc.).
- **Returns & Exchange Optimization**: Dynamic policies that reduce abuse and improve customer experience.
- **Fraud & Risk Analytics**: Real-time shopper analysis and claim automation to contain support costs and fraud.

## Market Standing
- **Valuation**: Exceeding $1.5 billion (as per LinkedIn, likely from Series C round in 2021).
- **Key Metric**: Total funding of $320.4M (Series C led by SoftBank Vision Fund for $260M, plus earlier rounds).
- **Annual Revenue**: $15.7M (LinkedIn estimate; note: company may not disclose exact ARR).
- **Notable Investors/Partners**: SoftBank, PayPal, AMEX, Nationwide, Meritech Capital Partners, GreatPoint Ventures.
- **Growth Signals**: 
  - 1,200+ merchant partners including Peloton, Tonal, Casper, Sonos, Michaels, Ashley Furniture, Oura.
  - Headcount grew 7.8% YoY to 211 employees.
  - Acquired Aon Warranty Solutions (EXTEND WARRANTY SERVICES LIMITED and EXTEND SERVICES LIMITED).
  - Launched in 2022 (likely new product lines or expansion).

## Competitive Advantages
- **API-first embedded platform** that seamlessly integrates with existing e-commerce systems.
- **Real-time data intelligence** to differentiate customers by value and risk, enabling dynamic policies.
- **Zero-cost model** for merchants – revenue generated from protection plan sales.
- **Strategic backing** from major financial and insurance players (SoftBank, PayPal, AMEX, Nationwide).
- **Strong customer outcomes**: +61% average lift in customer LTV, +46% in average order value, +5% incremental revenue.

## Strategic Focus
- Continue expanding merchant partnerships and product categories (apparel, beauty, furniture, fine jewelry, etc.).
- Deepen AI/ML capabilities for fraud detection and personalized customer experiences (open roles for Senior Machine Learning Data Scientist, Manager, Machine Learning).
- Scale operations globally (presence in Canada, Philippines, Lebanon) and grow the remote-first workforce.
- Integrate recent acquisitions to enhance warranty and protection services.

## Why Work Here
- **Culture**: “Win together,” “Embrace transparency, earn trust,” “Control your own destiny,” “Think big, drive change,” “Wow every customer.”
- **Workplace**: Remote & hybrid options; hub in San Francisco. Flexible vacation policy, paid company holidays.
- **Benefits**: Comprehensive medical, dental, vision; 401(k) program; competitive salary and stock options; paid parental leave; LinkedIn Learning subscriptions; Employee Resource Groups.
- **Engineering culture**: Emphasis on ownership, collaboration, and using technology to modernize a legacy industry. Open roles across Data Engineering, Product Engineering, Machine Learning, Security, and Developer Experience.
- **Growth**: Fast-growing startup with strong financial backing and a clear mission – opportunity to make a significant impact.

## Sources
1. [extend.com/careers](https://www.extend.com/careers)
2. [extend.com/life-at-extend](https://www.extend.com/life-at-extend)
3. [extend.com](https://www.extend.com/)
4. [job-boards.greenhouse.io/extend](https://job-boards.greenhouse.io/extend)
5. [linkedin.com/company/helloextend](https://www.linkedin.com/company/helloextend)

## Other roles at Extend

- [People Transformation Specialist](https://feeny.ai/job/people-transformation-specialist-extend-united-states-jzgz5x539pmm) — United States
- [People Generalist](https://feeny.ai/job/people-generalist-extend-united-states-aga1g2qv91k3) — United States
- [Manager, Fraud Intelligence](https://feeny.ai/job/manager-fraud-intelligence-extend-united-states-xqcdhq16y9p4) — United States
- [Senior Manager or Director, People](https://feeny.ai/job/senior-manager-or-director-people-extend-united-states-gjk1h8vxveh0) — United States
- [Manager, Risk Analytics](https://feeny.ai/job/manager-risk-analytics-extend-united-states-zb55cp2w1qwy) — United States
- [Legal Counsel](https://feeny.ai/job/legal-counsel-extend-united-states-ht5cgvjyh0d4) — United States
- [Analytics Engineer](https://feeny.ai/job/analytics-engineer-extend-united-states-e0dpb7vjb22e) — United States
- [Engineering Manager - Servicing & Fulfillment](https://feeny.ai/job/engineering-manager-servicing-fulfillment-extend-united-states-x52grk1svfry) — United States
- [Product Manager II](https://feeny.ai/job/product-manager-ii-extend-united-states-ykmmd0s4ck3z) — United States
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