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Data Scientist at Extend, Inc.

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Job Overview

  • Date Posted
    February 8, 2024
  • Location
  • Expiration date
    --
  • Industry
    Management
  • Qualification
    Professional Certificate
  • Career Level
    Junior, Mid

Job Description

What You’ll Be Doing:

This is a data science / analytics hire to support Extend’s Risk and Analytics team. You will have the opportunity to help scale within the organization. The role’s responsibilities will include:
Revenue and Product Analytics:A/B testing and optimization across consumer-facing product touch points on merchant sites
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
Broad product optimization across our platform
Revenue Ops Support: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
Client Insights:Partner with merchant success teams to show the value that Extend delivers to merchants and why we are the best in the industry, including building A/B or serial tests, NPS surveys, merchant satisfaction surveys, or other methodologies to track successful attachment and conversion
Help turn these insights into sales enablement and competitive positioning
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
Consumer Marketing Analytics:Work with merchants on email, digital media, and in-box campaigns to drive increase attach rates and incremental revenue for our merchant partners and Extend
Warranty Services Support:Work with our Risk & Insurance team to build deep-dive analytics and machine learning models to better forecast risk across our portfolio
Support servicing team to help drive step-change improvements in efficiency (beyond day-to-day workforce management) and forecast hiring based on Revenue team signing/integration expectations
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
Merchant underwriting & risk analytics
Evaluate the fraud and default risk of individual merchants and partners, both at onboarding and post integration
Other: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
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
Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies
What We’re Looking For:

A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative
2-4 years of analytics, management consulting, finance, and/or strategic operations experience with a digital product or service
Experience with SQL and Python, R or Julia, experience with Machine learning and/or forecasting is a plus.
Experience in the retail or fintech landscape  is a plus.
Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential
Ability to communicate across the organization, especially to teams with less data & analytics experience
Empathy and humility