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Senior Data Scientist, Revenue Analytics

ExtendRemote, US
Remote Full-time $125K/yr - $135K/yr

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Experience Level

Senior

Qualifications

What We’re Looking For:5+ years of experience in data science and/or consulting, with a strong emphasis on revenue analytics. Proficiency in statistical modeling and data visualization tools. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication skills to convey complex data insights to non-technical stakeholders.

About the job

About Extend:

Extend is transforming the post-purchase landscape for retailers and customers by delivering AI-powered solutions that elevate customer satisfaction and enhance revenue growth. Our all-encompassing platform streamlines customer service, simplifies returns and exchanges, automates fulfillment processes, and offers product and shipping protection, all while ensuring top-tier fraud detection. By fusing cutting-edge technology with outstanding customer support, Extend equips businesses to foster consumer trust and loyalty, driving down costs and boosting profitability.

Today, Extend collaborates with over 1,000 premier merchant partners spanning various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports, fitness, and beyond. Supported by leading technology investors, our headquarters is situated in downtown San Francisco.

About the Role:

The Revenue Analytics team is dedicated to crafting strategic recommendations based on data to scale, boost, and recover revenue. We excel at integrating insights from Sales, Growth, Product, Engineering, and Risk to unearth growth and expansion opportunities that directly impact the company’s profitability. If you're passionate about distilling complexity and uncertainty into measurable outcomes, you'll flourish on our team.

What You Will Be Doing:

  • Cross-functional Leadership: Drive cross-functional teams independently through complex queries to influence and enact revenue-generating initiatives and recommendations.
  • Revenue Enhancement: Develop and implement innovative strategies aimed at maximizing revenue and improving client acquisition across the entire revenue pipeline.
  • Data-Driven Decision Making: Spearhead enhancements to our quantitative analysis methods (simulation models, A/B testing, causal impact analysis, etc.) to effectively guide strategic direction, with opportunities to present insights to leadership regularly.
  • Data Infrastructure Management: Oversee, refine, and enhance existing data pipelines to leverage data analytics effectively, defining data structures, and utilizing advanced tracking methods to identify revenue opportunities.
  • Exemplary Standards: Establish a benchmark for the team regarding analytical thinking and excellence.

About Extend

Extend is a leading innovator in the post-purchase experience, dedicated to enhancing customer satisfaction and driving revenue growth through AI-powered solutions. Our platform serves thousands of merchants across diverse sectors, supported by prominent investors and a commitment to excellence in customer service.

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