Lead Data Scientist (Partnership Growth)

at  Jerry

YOU COULD WORK ANYWHERE. WHY US?

• Join a pre-IPO startup with capital, traction and runway ($240M funded | 40X revenue growth in 4 years | $2T market size)
• Work closely with brilliant leaders and team mates from companies like McKinsey, Bain, BCG, Better, Nerdwallet etc.
• Disrupt a massive market and take us to a $5B business in the next few years
• Be immersed in a talent-dense environment and greatly accelerate your career growth

ABOUT THE OPPORTUNITY:

We are looking for a Lead Data Scientist, Partnership Growth to drive unparalleled value for our insurance partners. This role will focus on our flagship insurance product, the primary revenue driver for our business. Establishing and nurturing robust insurance partnerships is crucial for the continued success and growth of our insurance product. In this high-visibility role, you will report to our VP of BizOps and Analytics and collaborate closely with our insurance operations, product, and business leaders. You will conduct analyses and generate insights using our sophisticated machine learning models to shape our partnership strategies. As the lead analytical and strategy partner supporting our insurance operations, you will play a critical role in helping us go from 5M to 50M customers and become a $5B business in the next few years.
Jerry is building the first super app to help people optimize all aspects of owning a car – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, real-time driving insights, a repair marketplace, car diagnostics, and a GenAI-powered chatbot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 40X and our team to 250 across 7 countries.

PREFERRED EXPERIENCE:

• Bachelor’s degree in a quantitatively or intellectually rigorous discipline
• 5+ years of consulting experience (McKinsey, Bain or Boston Consulting Group preferred)
• Proficient in SQL and Python (or a similar ML programming language)
• Ability to create alignment and drive decisions

Please refer the Job description for details