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Senior Data Scientist, Revenue Analytics

Extend
Full TimeseniorRemote
Remote, USRemotePosted 5 days ago

Role Overview

Extend is hiring a Senior Data Scientist, Revenue Analytics. This is a full-time remote role, with the team based in Remote, US. Part of Extend's Risk hiring, posted 5 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Risk roles is $134k-$170k (based on 266 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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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 Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue. We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company’s bottom line. If you have a passion for breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team.

What You Will Be Doing:

  • Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations.
  • Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.
  • Data-driven Insights: Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction, with opportunities to present these insights to leadership on a regular basis.
  • 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.
  • AI for Change: Embed AI into the Revenue Analytics workflow, raising the floor on what the team can produce. You'll have latitude to experiment and the expectation that you will.
What We’re Looking For:
  • 5+ years experience in data science and/or consulting with strong emphasis on breaking down business problems into data driven impact.
  • Standout written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
  • Expert knowledge of SQL, Python, A/B testing, and Github
  • Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how that can help improve our day-to-day efficiency
  • Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically
  • Empathetic, humble, and collaborative team player
  • Advanced degree in data science, analytics, economics, statistics or similar quantitative field
  • Candidates must be located within the continental United States
Expected Pay Range: $125,000 - $135,000 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.

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About Extend

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Extend

extend.com

RiskHires remote

12 other open roles at Extend on TryApplyNow.

Frequently Asked Questions

How do I apply for the Senior Data Scientist, Revenue Analytics position at Extend?

Use the Apply button above to submit your application directly to Extend. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Senior Data Scientist, Revenue Analytics role at Extend remote?

Yes. This is a remote role. The team is based in Remote, US, but the position itself does not require relocating to that office.

What does a Senior Data Scientist, Revenue Analytics at Extend earn?

Extend has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Data Scientist, Revenue Analytics role at Extend posted?

This role was posted on July 17, 2026 (5 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Data Scientist, Revenue Analytics role at Extend require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Extend lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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