Senior Data Scientist, Revenue Analytics

Job not on LinkedIn

🕒 April 9

🏄 California – Remote

🏄 California – Remote

💵 $125k - $135k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Extend

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛍️ eCommerce

🔌 API

🤝 B2B

eCommerce • API • B2B

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

• 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.

🎯 Requirements

• 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

🏖️ 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.