Job description
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.
Name of Employer: Extend, Inc.
Position Title: Senior Data Scientist, Machine Learning
Position Location: 220 Montgomery Street, Ste 2000, San Francisco, CA 94104
Salary: $138,750 - $161,250 per year*
*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.
Hours: Monday – Friday, 8:00 am to 5:00 pm
Summary of Duties:
- Build deep-dive analyses and eventually machine learning models to better forecast risk across the portfolio for our insurance captive for contracts and claims activity.
- Platform-wide analytics to confirm the product is working as expected (loading of images, buttons, load times etc.).
- A/B testing and optimization across consumer-facing product touch points on merchant sites.
- Working with Data Engineering and Product to ensure proper analytics tracking is set up (ideally before launch) for all new features/products and supporting in development of ETLs.
- Work closely with RevOps as technical resource to build data platform to determine sales comp planning (and payouts) and assist in writing up basic scripts or financial models as needed.
- Manage tests for specific merchants and generate data to build out case studies and GTM messaging strategies.
- Drive portfolio-wide revenue optimization and communication to merchants on personalized optimization based on testing across our platform.
- Work with our Risk & Insurance team to build deep-dive analytics and machine learning models to better forecast risk across our portfolio.
- Create platform analytics to confirm product operation is as expected and develop new processes to optimize warranty mapping operations, plan pricing, and merchant attach rates.
- Perform exploratory data analysis to assemble metrics and KPIs to assess and gauge activity across the Extend platform, and support teams throughout Extend by delivering analyses and process improvements to help the business continue to scale.
- Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes.
Education requirements: Bachelor’s degree in Data Science, Statistics, Mathematics, or closely related field or foreign equivalent
Experience requirements: 1 year of experience in analytics, management consulting, finance, or strategic operations, or closely related position
Special Skills or Other Requirements:
Experience must include:
- Experience in programming languages including Python and R.
- Perform data analysis to assemble metrics and assess KPIs.
- Position can be performed remotely anywhere in the U.S.
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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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