BlaBlaCar's vision is to bring fairness, freedom & 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 & friendly way to travel. Today, our global, trusted community counts 75 million members in 22 countries, enabling a smarter, large scale & 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, & 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 & 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), So Paulo, Warsaw. English is the official spoken language across BlaBlaCar. We are privately-held & founder-led. Our team of 500 employees is entrepreneurial, passionate, & 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 & working on a state-of-the-art cloud platform, come & join us!
You'll join the growing data science marketplace team, whose mission is to create value within BlaBlaCar products using machine learning & algorithms. Among many projects, the team is for instance taking care of matching drivers with passengers, finding the best meeting points, computing prices, etc.
BlaBlaCar data stack is composed by google cloud platform suite (BigQuery, Pub/Sub, Compute Engine, ...), in-house tracking technology based on Kafka, is orchestrated by Airflow. Dashboards & reports are built in Tableau. As a Data Scientist, you will mostly be coding in Python.
What you will contribute to:
Leveraging machine learning algorithms to help passengers & drivers efficiently find the best BlaBlaCar carpool at the right price
Contributing to pioneering research on experimentation in marketplaces with the goal to develop an efficient methodology for A/B testing
Developing models to explain matching between passengers & drivers, crunching through massive geospatial & behavioral data sets
Recommending & work with software engineers to implement real-time solutions to maximize millions of users' chances of travelling with BlaBlaCar
As an experienced member in a team of 6 Data Scientists:
Challengingour data scientist toolbox, & proposingsolutions to improve our data science pipelines
Leading large-scale projects
Mentoring other data scientists
What you will need to be successful:
Have a minimum 4+ years of professional experience as a Data Scientist, building predictive machine learning models in production
Pushed to production several ML based solutions & are familiar with retraining strategies
Strong knowledge of Machine Learning theory, statistics & probabilities.
Fluent in SQL, Python, & perfect knowledge of main machine learning packages: scikit, xgboost, keras...
Have some experience applying data science techniques to geospatial data & pricing strategies is a plus
Possess good communication skills: you are able to explain your models clearly to both analysts & decision makers. You are able to move beyond the status quo
Be humble, structured, organized, motivated by innovation & a relentless doer
Enjoy working as a team-player & are willing to train others, share & learn more everyday
Be fluent in English
A few practical details about the role :
- Start: As soon as you are ready!
- Location: Paris HQ (remote friendly)
- Contract: Permanent contract
What we offer all of our employees:
- A start-up spirit that fosters agility, teamwork & impact
- Challenging career opportunities in a high-growth & 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) & answer our questions in English.
Kindly note that only complete applications will be reviewed by our hiring team & that all your information will be kept confidential.
You can expect us to review your application within the following 2weeks. If your application fits our requirements, we will invite you to a first call followed by twointerviews with analytical tests & case study.
BlaBlaCar is an equal opportunity employer. We celebrate diversity & are committed to creating an inclusive environment for all employees.