Lead Data Scientist, Revenue Analytics

🕒 July 23

🏄 California – Remote

🏄 California – Remote

💵 $138.8k - $150k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Extend

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛡️ Insurance

📦 Logistics

🛍️ eCommerce

Insurance • Logistics • eCommerce

Extend is a company that helps merchants generate revenue and protect their customers through modern product and shipping protection solutions. They offer protection plans from product failure and accidental damage to shipping issues like porch pirates and damaged deliveries. Extend provides a platform that is easy to integrate with eCommerce platforms like Shopify and BigCommerce. This enables merchants to easily offer protection plans and manage claims, with most being resolved in 90 seconds or less. The company focuses on improving profit margins and enhancing the customer experience by offering easy claim filing and turning customers into long-term advocates.

📋 Description

• Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations. • Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall. • 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. • 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. • Develop junior members of the team in terms of analytical thinking and excellence. • Leading the charge for how to 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.

🎯 Requirements

• 7+ years experience in data science and/or consulting with strong emphasis on breaking down ambiguous business problems into data driven impact. • Exceptional 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.

🏖️ Benefits

• 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.