Data Scientist

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:

This role is part of Extend’s Revenue Analytics team, focused on developing strategic recommendations grounded in data to scale and drive revenue. You will piece together different contexts from Revenue, Product, Engineering, and business leaders to identify growth and expansion opportunities that directly drive the company’s bottom line. If you’re excited about breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team.

What You Will Be Doing:

• Strategic Pricing and Revenue Optimization: Lead the development and implementation of innovative pricing strategies to maximize revenue generation and enhance client acquisition.
• Lead Cross-functional Projects: Act as internal consultant, liaising with internal stakeholders such as Revenue, Programs, and Servicing teams to define and execute on data-driven strategy on existing and future products.
• Data-driven Insights: Utilize advanced quantitative analysis techniques (simulation models, A/B testing etc.) to influence audiences on strategic direction, with opportunities to present these insights to leadership and cross-functional partners on a regular basis.
• Data Infrastructure: Enhance and refine existing quantitative tools to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.

What We’re Looking For:

• Analytical problem-solver with 2+ years experience breaking down business problems into data driven impact.
• Advanced degree in data science, analytics, economics, statistics or similar quantitative field
• Previous experience in consulting a plus
• Strong knowledge of SQL, structuring data and ability to effectively query multiple tables of different grains with use of subqueries and window functions
• Expertise with Python and Github
• Practical and theoretical knowledge of A/B testing a plus
• Strong written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
• 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
• Candidates must be located within the continental United States