Staff Data Scientist, Product Growth

You could be a data scientist 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 who have scaled companies like Nvidia, Better, Nerdwallet, Wayfair, Sofi, Robinhood, etc.Disrupt a massive market and take us to a $5B business in the next few yearsBe immersed in a talent-dense environment and greatly accelerate your career growthAbout the opportunity:Jerry is building the first AllCar 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.We are looking for a Staff Data Scientist to partner with our product managers, designers, software engineers and business leaders to drive adoption for two new products, real-time driving behavior tracking and GPT-4 powered chatbot. As the lead data scientist on these initiatives, you will run analyses and drive insights into what our customers need, understand how they are interacting with and using these new features, and translate these insights to inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.How you will make an impact:Define, understand, and test levers to drive user adoption and engagement for the products you support through insights and recommendationsDesign, run, and analyze A/B experiments on new and existing features; extract key insights, share learnings and continue iteratingBuild key reports, dashboards, and predictive models to monitor the performance of our business, communicate analytical outcomes to our teams, and make recommendations on next stepsTransform and refine raw production data for analytical needsIdeal profile:Bachelor’s degree in a quantitatively or intellectually rigorous disciplineA few years of structured problem solving experience (MBB, VC or PE experience preferred) followed by a few years as an operator (in data science, business operations, data analytics, product analytics or related)High level of comfort with SQL and Python (or similar ML programming language)You have a framework for problem solving and live by first principlesComfortable communicating with audiences varying from front-line employees to the company’s C-suiteYou set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

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