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Data Scientist

California, USA , US$120000 - US$170000 per annum + The best benefits package on the market

Date Posted

2019-03-18 15:00:14 +0000



Job Type



Data Science

We are supporting an automotive FinTech company that's revolutionizing car buying by offering unprecedented freedom, flexibility, and an end-to-end mobile experience.

Due to their success, this company has created a very unique partnership with one of the worlds leading tech firms and have already made a huge impact in 22 states across the US. They plan to continue this growth across 2019 and are on a mission to be in all 52 states by the end of the year, with worldwide expansion in 2020! To achieve this, they will need to onboard some more highly motivated data scientist/machine learning engineers into their team based in California.

The perfect profile will sit as "full stack" data Scientist, who will mold raw data sets into art-production quality machine learning models.

This business has created a game-changing new app that lets you shop, get approved and pay for a car all on your phone with just a driver's license and bank account. You can actually get in-app approval for a monthly payment amount, then head to a dealership and check-out in minutes. The most interesting thing about this idea is that you can drive your car for as long as you want, and return the car any time whenever you're ready.

In this role, you will play a pivotal role in implementing machine learning models across the entire app experience, as well as, running high business impacting analytics that will help us provide the best possible experience for our customers.

Tech Stack: Python, SK-Learn, Airflow, Tableau, Postgres, Docker, Kubernetes, AWS

The benefits package is like no other that we have seen on the market, so that combined with the opportunity to join a rapidly growing organization, post IPO... is super exciting!

For more information get in touch:


Managing This Role

Lewis Adams-Dunstan

I manage a team of specialist Recruitment consultants, who focus their time purely on sourcing and building relationships with Data Science professionals in Greater New York Cit...

Lewis's Full Bio

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