BlaBlaCar’s vision is to bring fairness, freedom and fraternity to the world of travel. 

BlaBlaCar was created in 2006 with one dream in mind: fill the millions of empty seats on the road to create an efficient, affordable and friendly way to travel. Today, our global, trusted community counts 75 million members in 22 countries, enabling a smarter, large scale and truly sustainable transport network. 

Born from a simple idea of people sharing their rides, BlaBlaCar’s ambition is to become the go-to marketplace for shared road mobility. We offer long distance carpooling service, a commuting carpooling service, and since 2018  a marketplace bus service too. A filled bus emits one third of the emissions per passenger kilometer as an average car. So we want to fill those seats too! 

In 2018, 84 million travellers used BlaBlaCar globally saving 1.6 million tons of CO2. Meanwhile we enabled human connections, bringing people closer together in more ways than one with 87% of members say that carpooling is an enriching experience. 

BlaBlaCar offers a truly and unique international environment with a team counting 35 nationalities,  serving a global member-base from 8 offices in Berlin, Kiev, Madrid, Milan, Moscow, Paris (HQ), São Paulo, Warsaw. English is the official spoken language across BlaBlaCar. We are privately-held and founder-led. Our team of 500 employees is entrepreneurial, passionate, and fundamentally mission-driven. 

One of BlaBlaCar’s key strategic goals is to leverage data through Machine Learning in order to trigger growth opportunities. Data Science has been instrumental to successfully launching new services for the past two years, yet the potential for improvements is still massive. If you are looking for exciting challenges, impacting millions of users and working on a state-of-the-art cloud platform, come and join us!

What you will contribute to : 

• Modelizing the user behavior to predict the probability of each person to book a trip
• Analyzing the factors that help users to convert and help adapt the bids on the search engine marketing platforms
• Working with software engineers and other data scientists to implement real-time solutions to maximize millions of users’ chances of travelling with BlaBlaCar.

What you will need to be successful:

• Engineering school, PhD or Master degree in Math, Stats, OR, ML, Engineering. Having taken courses in Statistics & Machine learning
• Proficiency in Python or R
• Knowledge of ML frameworks (eg Tensorflow, Keras, Scikit, Xgboost)
• Autonomous, detail-oriented
• Enjoy working as a team-player and learning from others
• Fluent in English (French is not mandatory)

A few practical details about the role : 

• Start: As soon as you are ready!
• Location: Paris HQ 
• Contract: 6 months-Internship - possible to lead to a full time contract

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
• An inspiring working environment including state-of-the-art office spaces
• Free carpooling to live our value “Be The Member”
• Annual BlaBlaBreak which takes us all for an unforgettable weekend
• Bi-Weekly BlaBlaTalks when we learn from each other
• Weekly Tech Demos

What is next: 

If you are ready to join our exciting journey, please apply below: upload your resume in English (PDF format) and answer our questions in English.

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 a first call followed by two interviews with analytical tests and case study. 

BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.