---
title: 'Senior Data Scientist, Revenue & Risk Analytics at Extend'
canonical: 'https://feeny.ai/job/senior-data-scientist-revenue-risk-analytics-extend-united-states-c0vt4eww0p1y'
type: 'job'
last_seen: '2026-10-26'
---

# Senior Data Scientist, Revenue & Risk Analytics at Extend

- **Company:** Extend
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-10-20
- **Last confirmed live:** 2026-10-26
- **Apply:** https://job-boards.greenhouse.io/extend/jobs/6229560004

## 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:

We’re looking for a Senior Data Scientist to join the Revenue & Risk Analytics team. You’re experienced at developing strategic recommendations grounded in data to scale, drive, and recover revenue. Technical expertise is just the table-stakes; business and strategic thinking takes you to the next level: you know which questions are worth asking, how each answer drives business impact, and how the answers change what the company does next.

This is a highly versatile role. One quarter, you might be designing a custom program end to end, from how to reserve for risk, price to customers, and tell that story to client-facing teams. The next, you might be identifying opportunities to improve coverage accuracy for risk mitigation, then work hand in hand with Product and Engineering to turn them into features. Your work will show up and contribute directly to our bottom line.

What You Will Be Doing:

- Revenue optimization and risk mitigation: Own and identify innovative new strategies across the entire revenue waterfall to grow and recover revenue together with client-facing teams.
- Storytelling for client-facing teams: Build talk tracks and narratives for Revenue to continuously optimize and grow existing partnerships, backed by data insights from testing, Monte Carlo simulations, and/or ML models.
- Influence the product roadmap: Test optimization ideas, prove they work with data, and make the case to backend Product and Engineering teams to turn them into features that change how the company makes money.
- Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.
- Role Model: Set the standard for the team in terms of analytical thinking and excellence.

What We’re Looking For:

- 5+ years in product data science or consulting with a strong emphasis in strategic thinking and a track record of driving business impact.
- Solid statistical foundations: experimentation, causal inference, forecasting, and modeling.
- Previous experience working with backend Product and Engineering teams on implementing product roadmaps.
- Expert knowledge of SQL, Python, A/B testing, and Github, with hands-on Snowflake and dbt (or close equivalents).
- Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically.
- Empathetic, humble, and collaborative, with comfort in ambiguity and high ownership in a remote-first team.
- Excited about AI tools (Claude, Gemini, etc.) and eager to use them to complement your workflow.
- Advanced degree in data science, analytics, economics, statistics or similar quantitative field.

Expected Pay Range: $125,000 - $145,000 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.

Extend does not provide immigration-related sponsorship for this role. 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

- [Director of Compliance](https://feeny.ai/job/director-of-compliance-extend-united-states-5y2jd27e7435) — United States
- [Claims Adjudication Specialist](https://feeny.ai/job/claims-adjudication-specialist-extend-united-states-yf3r1nnq6hpx) — United States
- [Senior Analyst, Fraud Intelligence](https://feeny.ai/job/senior-analyst-fraud-intelligence-extend-united-states-7k7w8rzfnnc9) — United States
- [Software Engineer II - Fulfillments Team](https://feeny.ai/job/software-engineer-ii-fulfillments-team-extend-remote-k05q4c7kx8pt)
- [Senior Analyst, Client Insights](https://feeny.ai/job/senior-analyst-client-insights-extend-united-states-m8ae48p6njwm) — United States
- [Director of Revenue Operations](https://feeny.ai/job/director-of-revenue-operations-extend-san-francisco-byrmst5vgvcm) — San Francisco, CA
- [Senior Data Platform Engineer, Enterprise Merchant Integrations](https://feeny.ai/job/senior-data-platform-engineer-enterprise-merchant-integrations-extend-remote-bg8jqk038gxd)
- [Manager, Analytics Engineering](https://feeny.ai/job/manager-analytics-engineering-extend-remote-fkfje9wx3c10)
- [Account Manager, Enterprise Growth Strategy](https://feeny.ai/job/account-manager-enterprise-growth-strategy-extend-united-states-6h8x3z5a1nmv) — United States
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