Staff Data Scientist, ML Ops

Turo is the world's largest car sharing marketplace where you can book any car you want, wherever you want it, from a vibrant community of trusted hosts across the US, Canada, and the UK. Whether you're flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky, guests can take the wheel of the perfect car for any occasion, while hosts can take the wheel of their futures by building an accessible, flexible, and scalable car sharing business from the ground up.

Data is our fuel at Turo. It is ever-more abundant and valuable, but it's raw material. Harnessed by data scientists and machine learning engineers, it propels Turo on its mission to put the world’s 1.5+ billion cars to better use, delighting our customers with matching the right car for their next adventure from an exceptionally diverse selection, and at the same time helping our marketplace remain safe.  

We are looking for a Staff Data Scientist to join our team and help us build a world-class ML Ops framework.

You're excited to solve meaningful business problems. You are comfortable with a range of statistical and machine learning techniques. Modeling is your thing, you are proficient in translating unstructured business problems into mathematical frameworks, and propose scalable solutions. 

You have a passion for consumer products, and are excited to play a key role in crafting the product from inception to implementation, and beyond.

Responsibilities

• Work closely with the Data Science team to build our MLOps framework.
• Partner closely with the ML engineering team to help develop the new ML platform, that will service a rapidly growing number of use-cases and functions across Turo.
• You will focus on our training, testing, and deployment pipelines. Produce high-quality maintainable code, test it, collaboratively review it and ship it.
• You will also lead the end-to-end process of conceptualizing, developing, deploying, and analyzing ML models. 
• Mentor junior team members to help them elevate to the next level.

Required Qualifications

• 5+ years of Data Science experience, including software engineering. You have a strong engineering background, have experience putting ML training, testing, and production pipelines in place, and scaling them (MLFlow, TFX). 
• Fluent in a production-ready programming language such as Python. 
• Understanding of mathematical methods in statistics, optimization, and machine learning. Demonstrable experience applying these methods to real world prediction problems.
• Strongly self-motivated with a keen eye for detail. A natural desire to learn and innovate with like-minded colleagues.

Benefits

• Competitive salary and equity for all full-time employees
• Employer-paid medical, dental, and vision insurance and 401k match
• Flexible paid time off, 11 paid holidays, paid volunteer time off, and paid parental leave
• Turo host matching and vehicle reimbursement program
• Monthly Fringe benefits stipend
• Monthly Turo travel credit 

About Turo

A pioneer of the sharing economy and the travel industry, Turo is a safe, supportive community where the car you book is part of a story, not a fleet. Discover Turo at https://turo.com, the App Store, and Google Play, and check out our blog, Field Notes.  

Turo has raised $500M to date from top-tier investors, including IAC, Daimler AG, Kleiner Perkins, GV, Canaan Partners, August Capital, and Shasta Ventures. 

Turo cultivates a tight-knit team of smart, critical thinkers who care about their work and their colleagues. Our recruiting team is always on the lookout for supportive, down-to-earth, pioneering, and efficient candidates to grow our team's talent and enrich our culture.

Read more about the Turo culture according to Turo CEO, Andre Haddad.

We're an equal opportunity employer and value diversity at our company. We don't discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. When in doubt, please apply!

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