Data Scientist

  • Paris, France
  • Full-time

Company Description

BlaBlaCar is the global leader in long-distance carpooling. We are an innovative and fast-growing company building a unique community of members to transform the way people travel!

For more information about us, please visit

Job Description

Why you would want to join us

One of BlaBlaCar’s key strategic goals is to generate more activity and usage. The Growth Tribe at BlaBlaCar aims at leveraging all means possible (machine learning, product, tech, marketing, design…) in an agile way in order to grow our user base and to make BlaBlaCar’s service even more efficient and frequent.

To fulfill this ambition, you will join a dedicated agile cross-skills squad, operating as a mini-startup within BlaBlaCar. The squad is comprised of tier one profiles with a strong entrepreneurial mindset: mobile engineer, front-end engineer, UX designer, product manager and data analyst. The roadmap of the squad fits into the broader ambition of the Growth Tribe.

What you will directly contribute to

  • Helping passengers and drivers to efficiently find the best BlaBlaCar carpooling available on our marketplace using state-of-the-art machine learning techniques

  • Developing models to explain matching between passengers and drivers, crunching through massive geospatial and behavioral data sets

  • Designing price-recommendation algorithms to assist drivers and passengers in getting the best transportation between any two cities in the world

  • Recommending and testing real-time solutions to maximize millions of users’ chances of travelling with BlaBlaCar


What you will need to be successful

  • Hold an advanced degree in Computer Science, Mathematics, Statistics, Economics, or Operations Research or PhD.

  • Have a minimum 5+ years of professional experience as a Data Scientist, building predictive machine learning models.

  • Have some experience applying datascience techniques to geospatial data a plus; Familiarity with pricing optimization and inventory management also a plus.

  • Demonstrate excellent programming skills in one scripting language (SQL, Python, R, etc)

  • Possess superb communication skills; you are able to explain your models clearly to both analysts and decision makers.

  • Be humble, structured, organized, motivated by innovation and a relentless doer

  • Enjoy working as a team-player and learning from others

  • Be fluent in English

Additional Information

A few practical details about the role

  • Start: As soon as you are ready!

  • Location: Paris HQ

  • Contract: Long-term contract (CDI)

  • Compensation: competitive package based on experience.

What we offer all of our employees

  • A start-up spirit that fosters agility, teamwork and impact

  • Challenging career opportunities in a high-growth and fast-paced environment

  • The choice between the latest Mac or PC equipment

  • An inspiring working environment including state-of-the-art office spaces

  • Free carpooling to experience our value “Think it. Build it. Use it.”

  • Annual BlaBlaBreak which takes us all for an unforgettable weekend

  • Weekly BlaBlaTalks when we learn from each other

  • Weekly Tech Demos

  • BlaBlaSwap which allows you to work one week per year from one of our 10+ offices around the globe

  • and many more to check out on

What is next 

If you are ready to join our exciting journey, please apply below without forgetting to upload your resume in English (PDF format) nor to answer our questions in English as well. Kindly note that only complete applications will be reviewed by our hiring team and that all your information will be kept confidential.

You can expect us to review your application within the following 2 weeks. If your application fits our requirements, we will invite you to complete an online test (15 min needed). Should you pass the test, we shall then get to know each other a bit better via a video call. After that, we will ask you to take a data challenge relevant to the Tribe’s business objectives. It will give you a real sense of what the role is like and the opportunity to come and present it to the Team at our offices for more discussions around it.