Senior Data Scientist, Revenue & Risk Analytics
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 13d ago
The date the source published, not the day we noticed it (2026-10-20). Last seen at its source 7h ago.
We have tracked this listing since 20 Oct 2026 (12 days). The employer's own board has carried it every time we have read it, most recently 7 hours ago.
Is it remote?
Remote, US
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$125k–145k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen 12d ago · last seen 7h ago
The listing
About Extend:
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.