Senior Data Scientist

3 weeks ago

Toronto, Canada Jerry Full time

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 years Be immersed in a talent-dense environment and greatly accelerate your career growth

About 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 Senior Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, 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 recommendations

Design, run, and analyze A/B experiments on new and existing features; extract key insights, share learnings and continue iterating

Build key reports, dashboards, and predictive models to monitor the performance of our business, communicate analytical outcomes to our teams, and make recommendations on next steps

Transform and refine raw production data for analytical needs

Ideal profile:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline A 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 principles Comfortable communicating with audiences varying from front-line employees to the company’s C-suite You 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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