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 creating an efficient, affordable, and friendly way to travel. Today, our global, trusted community counts 90 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 a long-distance carpooling service, a commuting carpooling service, and long-distance bus service. 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 2019, 100 million travelers 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 believing carpooling to be an enriching experience. 

BlaBlaCar offers a unique international environment with a team counting 40 nationalities, serving a global member-base from 7 offices in Berlin, Kyiv, Madrid, Milan, Moscow, Paris (HQ), São Paulo, and Warsaw. English is the official spoken language across BlaBlaCar. We are privately-held and founder-led. Our team of 700 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!

You’ll join the growing data science automation team, whose mission is to create value within BlaBlaCar Operations using machine learning and algorithms. 

Among many projects, the team delivers Machine Learning driven tools to optimize and scale our Bus Network in western Europe.

BlaBlaCar data stack is composed of the Google Cloud Platform suite (BigQuery, Pub/Sub, GKE, Cloud Run, ...).

Data scientists collaborate closely with ML engineers and Data analysts to deliver end-to-end ML projects from data exploration to production.

What you will contribute to: 

• Leveraging machine learning algorithms to deliver the most efficient bus network to our users

• Contributing to pioneering research on experimentation on data science driven mobility

• Recommending and work with software engineers to implement real-time solutions

• As an experienced member in a team of 6 Data Scientists:

  • Challenging our data scientist toolbox, and proposing solutions to improve our data science tooling

  • Leading large-scale projects

  • Mentoring other data scientists

What you will need to be successful

• Have a minimum 3+ years of professional experience in Data or software engineering, including 1+ year as a data scientist building predictive machine learning models in production

• Pushed to production several ML based solutions and are familiar with retraining strategies

• Strong knowledge of Machine Learning theory, statistics and probabilities.

• Fluent in SQL, Python, and good knowledge of main machine learning packages: scikit, xgboost, keras...

• Possess good communication skills: you are able to explain your models clearly to both analysts and decision makers. You are able to move beyond the status quo

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

• Enjoy working as a team-player and are willing to train others, share and learn more everyday

• Be fluent in English

A few practical details about the role : 

• Start: As soon as you are ready!
• Location: Paris HQ (or remote from France)
• Contract: Full-time permanent 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
• 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 3 weeks. If your application fits our requirements, we will first invite you to complete an online test, then 1 online interview followed by a case study and 1 final interview in remote.

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