About the role

Aplyr's Quick Take

This role is for a Senior Data Scientist focused on revenue analytics, where you'll lead cross-functional teams to develop data-driven strategies that boost revenue. You'll be responsible for optimizing revenue processes, improving data analysis techniques, and refining data infrastructure. It's primarily an individual contributor role with significant influence on company strategy.

Good fit

Ideal candidates have a strong background in data science, experience with revenue optimization, and the ability to work independently in ambiguous situations. A few years of relevant experience and a knack for presenting complex data insights clearly will help you thrive.

Worth noting

The role emphasizes cross-functional collaboration and requires a proactive approach to problem-solving. The focus on revenue generation means you’ll have a direct impact on the company's financial success, which can be a high-pressure but rewarding 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.

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.

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
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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Skills & Tags

python go rust ai data analytics product sales

Aplyr's read

Extend is a tech-driven insurance company focused on enhancing consumer product protection through innovative warranty solutions, attracting talent in AI, data, and security.
Synthesized from recent postings & public sources

What's promising

•Extend leverages advanced AI to optimize warranty solutions, enhancing product protection.
•The company has a strong focus on data-driven decision-making, evident from recent data science hires.
•Extend's growth in enterprise accounts suggests expanding market presence and business opportunities.

What to watch

•The niche focus on extended warranties may limit market diversification.
•Dependence on partnerships with retailers could pose risks if relationships falter.
•Rapid scaling may challenge maintaining consistent service quality and customer satisfaction.

Why Extend

•Extend integrates AI and data analytics to innovate traditional warranty services.
•The company offers a tech-centric approach to consumer protection, differentiating from conventional insurers.
•Extend's focus on enterprise growth highlights its strategic emphasis on large-scale partnerships.

Aplyr’s read is generated by AI from public sources. Was it useful?