Senior Data Scientist, Machine Learning

Summary

Join Extend, a revolutionary post-purchase experience company, as a Senior Data Scientist, Machine Learning! You will build deep-dive analyses and machine learning models to forecast risk, optimize revenue, and enhance our platform. Responsibilities include A/B testing, working with data engineering and product teams, and collaborating with RevOps and the Risk & Insurance team. You will create platform analytics, perform exploratory data analysis, and develop processes to optimize operations. The ideal candidate possesses a Bachelor's degree, one year of relevant experience, and proficiency in Python and R. Extend offers a competitive salary, full medical/dental/vision benefits, stock options, generous PTO, and a 401(k) with Morgan Stanley guidance.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, or closely related field or foreign equivalent
• 1 year of experience in analytics, management consulting, finance, or strategic operations, or closely related position
• 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

Responsibilities

• 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

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