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April 15, 2024
Jerry Logo

Associate Data Scientist

Jerry,

Palo Alto

This is an old job. It may expired or is no longer available.

The employer may not accept applications or may not be hiring.

We'd love to hear from you if you like:

  • Making a big impact with a Forbes Top Startup Employer

  • Working at a startup that has traction ($240M in funding | 40X revenue growth in 4 years)

  • Mentorship from serial entrepreneurs and seasoned leaders who have scaled companies like Robinhood, Amazon, Wayfair, SoFi, GEICO, Microsoft, etc.

  • Meritocracy: we promote based on performance, not tenure 

About the opportunity:

We are on a mission to disrupt the car ownership experience and help people who rely on their vehicles everyday save time and money on one of their most expensive, time-consuming and high-maintenance assets. Simplifying and democratizing car ownership and creating a world-class experience is what drives every decision we make as a company. Since launching our  AllCar™ app in 2019, we have amassed over 4M customers, and expanded beyond insurance shopping to refinancing, safety and repairs.

If you’re looking to get your hands dirty with data and learn from the best, look no further! We have aggressive goals to scale our business and need a curious and driven new graduate with sharp business acumen to collaborate with our product and business development team to deliver actionable insights using data. The pace of learning at a startup like Jerry is rapid, and you can expect your scope of responsibilities to grow quickly if you excel in your role and demonstrate a willingness to keep growing. If you’re looking for an opportunity to accelerate your career in data science, look no further!

How you will make an impact:

  • Preparing, analyzing, and visualizing data to identify and communicate key patterns and trends.

  • Developing and implementing machine learning models and statistical algorithms.

  • Collaborating with other stakeholders like our product and business development teams by communicating findings and recommendations.

  • Designing and running A/B experiments to extract insights and recommend next steps.

Ideal Profile:

  • Bachelor's Degree in quantitative discipline like data science, statistics, or mathematics from a leading institution

  • Comfort in working with SQL and Python

  • Any internship, co-op or summer work experience is an asset

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