Data Scientist, Revenue Analytics

About Extend:

Extend is modernizing the $100 billion-per-year protection plan industry using cutting-edge technology and top-notch customer service. 

Our technology-forward omnichannel and API-first solution allows any merchant to offer protection plans, both online and in store, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters. More recently, Extend also launched a shipping protection solution, covering consumers in the case of lost, damaged or stolen packages. This is further expanding the company’s addressable market and value creation for merchants.

We are a venture-backed startup in downtown San Francisco led by founders who have previously had multiple successful exits. Extend simplifies the technology stack for the product and shipping protection industries.

Position Title:                       Data Scientist, Revenue Analytics

Position Location:                353 Sacramento Street, Suite 2200, San Francisco, CA 94111                                                                              

Hours:                                    Monday – Friday, 8:00 am to 5:00 pm

SALARY:                                $110,000 - $129,000 per year

Summary of Duties: 

• Platform-wide analytics to confirm the product is working as expected (loading of images

  buttons, load times, etc.).

• 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 warrant 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.

• Support business operations, finance, revenue operations, and other internal teams by building

  analytics and reporting to understand overall business performance and increase organizational

  efficiencies.

MINIMUM REQUIREMENTS: Bachelor’s degree in Data Science, Statistics, Mathematics, or closely related field or foreign equivalent plus 2 years’ experience in Analytics, Management Consulting, Finance, or Strategic Operations, or closely related position

SPECIAL SKILLS OR OTHER REQUIREMENTS:

• Position can be performed remotely anywhere in the U.S.

Experience must include:

1. Advanced analytical skills with experience in working with large datasets.
2. Experience in programming languages, including Python, SQL, and R.
3. Experience in creating visualization dashboards
4. Identify and drive revenue initiatives and optimizations

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