.png)
Develop revenue optimization and risk mitigation strategies using experimentation, causal inference, forecasting, Monte Carlo simulations, and machine learning. Build data pipelines, improve analytics infrastructure, generate insights for client-facing teams, and influence Product and Engineering roadmaps. The role requires strong strategic thinking, business impact orientation, and collaboration in a remote-first environment.
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.
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.
- 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
Similar Jobs
Cloud • Greentech • Social Impact • Software • Consulting
Acquire new global enterprise customers through full-cycle, consultative B2B SaaS sales. Build pipeline through strategic prospecting, manage complex buying groups, lead discovery through close, coordinate internal specialists, maintain accurate forecasts, and develop account plans. Engage C-level stakeholders across safety, environmental, IT, finance, and operations. Represent VelocityEHS at industry events and travel 10–20% to support strategic deals.
Top Skills:
6SenseG2GongLinkedin Sales NavigatorMeddpiccOutreachSalesforceZoominfo
.png)
Healthtech • Social Impact • Telehealth
Provide evidence-based psychotherapy to older adults via telehealth, develop individualized treatment plans, manage a clinical caseload, document care in an EMR with AI assistance, and participate in paid case consultations. The role requires an active independent clinical license and offers flexible part-time or full-time remote work, clinical support, administrative assistance, training, and benefits for eligible W2 employees.
Top Skills:
Ai Documentation AssistantElectronic Health Records (Ehr)Electronic Medical Records (Emr)Telehealth Platforms
Healthtech • Social Impact • Telehealth
Provide evidence-based telehealth psychotherapy to older adults, develop individualized treatment plans, manage a clinical caseload, document care in an EMR using AI-assisted notes, and participate in paid case consultations. The role offers flexible scheduling, clinical support, patient referrals, and part-time or full-time employment or contractor arrangements.
Top Skills:
Ai Documentation AssistantElectronic Health RecordsEmrTelehealth Platforms
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
