Remote Senior Data Scientist, Machine Learning

Description:

• Extend is revolutionizing the post-purchase experience for retailers and their customers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth.
• The Senior Data Scientist, Machine Learning will build deep-dive analyses and machine learning models to forecast risk across the portfolio for insurance captive contracts and claims activity.
• The role involves platform-wide analytics to confirm product functionality, including loading of images, buttons, and load times.
• Responsibilities include A/B testing and optimization across consumer-facing product touchpoints on merchant sites.
• The candidate will work with Data Engineering and Product teams to ensure proper analytics tracking is set up for new features/products and support the development of ETLs.
• The position requires collaboration with RevOps to build a data platform for sales compensation planning and assist in writing basic scripts or financial models.
• The Senior Data Scientist will manage tests for specific merchants and generate data for case studies and go-to-market messaging strategies.
• The role includes driving portfolio-wide revenue optimization and communicating personalized optimization strategies to merchants based on testing results.
• The candidate will work with the Risk & Insurance team to build analytics and machine learning models for risk forecasting.
• The position involves creating platform analytics to confirm product operation and developing processes to optimize warranty mapping operations, pricing, and merchant attach rates.
• Exploratory data analysis will be performed to assemble metrics and KPIs to assess activity across the Extend platform and support teams with analyses and process improvements.
• The role requires collaboration with data engineering and product teams to ensure proper data tracking and support debugging and development of new ETL processes.

Requirements:

• A Bachelor’s degree in Data Science, Statistics, Mathematics, or a closely related field is required.
• The candidate must have at least 1 year of experience in analytics, management consulting, finance, or strategic operations, or a closely related position.
• Experience in programming languages including Python and R is essential.
• The candidate must be able to perform data analysis to assemble metrics and assess KPIs.
• The position can be performed remotely anywhere in the U.S.

Benefits:

• Employees will work with a great team from diverse backgrounds in a collaborative and supportive environment.
• The position offers a competitive salary based on experience, along with full medical, dental, and vision benefits.
• Employees will receive stock options in an early-stage startup that is growing quickly.
• A generous and flexible paid time off policy is provided.
• The company offers a 401(k) plan with financial guidance from Morgan Stanley.