Data Scientist (User Growth)

August 24

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Jerry

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Jerry helps you save money on car expenses. Named a LinkedIn 2021 Top Startup.

finance • insurance • artificial intelligence • mobile application • consumer software

201 - 500

Description

• 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, 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 • We are looking for a Data Scientist to help elevate our ability to scale customer demand by driving deep insights to inform our customer acquisition strategy. • Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions. • As the lead data science partner supporting our growth teams, 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 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 have amassed over 5M customers, raised $240M in funding, scaled our revenue 40X and our team to 250 across 7 countries. • Define, understand, and test levers to drive profitable and scalable user acquisition across our paid and organic channels • Design, run, and analyze A/B experiments across different channels, extract key insights, share learnings and continue iterating • Build key reports, dashboards, and predictive models to monitor the performance of our paid ads and marketing channels, communicate analytical outcomes to our teams, and make recommendations on next steps • Transform and refine raw production data for analytical needs.

Requirements

• Bachelor’s degree in a quantitatively or intellectually rigorous discipline • 3+ years of consulting, data science, or growth analytics experience • High level of comfort with SQL and Python (or similar ML programming language)