Cette offre est lié au département Data services
About BlaBlaCar
BlaBlaCar is the world’s leading carpooling platform, created with one dream in mind: leveraging technology to fill the millions of empty seats on the road(e)We offer long- and short-distance carpooling as well as a bus marketplace, with the mission to become the go-to marketplace for shared road mobility.
Today, our community counts over 90 million travelers in 22 countries, creating a smarter, friendlier and carbon-saving transport network(e)Every year, our community saves 1.6 million tons of CO2e by sharing the road, equivalent to the CO2 emissions generated by Paris traffic in a year(e)But it doesn’t stop here – our team of 250+ engineers is developing innovative algorithms to further unlock the potential of shared travel and multiply its impact.
We’re looking for people to join our journey – people who care, who are driven by impact and innovation, and who want to thrive in a fast-paced entrepreneurial environment(e)We offer a flexible workplace where we count on each other to take initiative(e)So join the ride – we can’t wait to see where it takes you.
Your Mission:
One of BlaBlaCar’s key strategic goals is to leverage data through Machine Learning in order to trigger growth opportunities(e)Data Science has been instrumental to successfully launching new services for the past two years, yet the potential for improvements is still massive(e)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 data science automation team, which aims at rationalizing and automating decision-making processes everywhere in the company(e)Among many other projects, the team is building data and ML-driven tools to design an efficient bus transport network(e)The team is also leading the efforts on scaling a marketing automation platform, on top of our first-class campaign tracking assets, to automate and optimize our multi-channel marketing strategy(e)Blablacar's data stack is composed of Google Cloud Platform suite (BigQuery, Pub/Sub, GKE, ...), in-house tracking technology based on Kafka, all being orchestrated by Airflow(e)Dashboards and reports are built-in Tableau. As a Data Scientist, you will mostly be coding in Python and SQL.
What you will directly contribute to:
- Contribute to building an innovative data driven optimization tool to design and operate a smart and efficient bus network in eastern Europe
- Leverage on advanced ML and statistics technique to maximize our marketing efficiency
Qualifications:
- Have strong knowledge and interest in Machine Learning theory, statistics and probabilities
- Proficiency in SQL, Python
- Possess good communication skills: you are able to explain your models clearly to both analysts and decision makers
- Be humble, structured, eager to learn, motivated by innovation and a relentless doer
- Enjoy working as a team-player and learning from
- Fluency in English
If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!
Please note that having an internship agreement from your school or university is mandatory(e)We won’t be able to proceed with your application if you do not have this document.
A few practical details about the role:
- Start: As soon as you are ready!
- Location: Paris (onsite)
What we have to offer:
- ? An international environment: over 35 nationalities across 7 countries: Brazil, France, Germany, Poland, Russia, Spain, Ukraine
- ? Opportunities to learn: 360 onboarding weeks, weekly team-all BlaBlaTalks to learn about what other teams are up to, International Weeks to mingle with other offices, regular Q&A sessions with our leadership, honest discussions about our company KPIs, ‘Fail, Learn, Succeed’ moments where we destigmatize and share moments of failure with others.
- ? Innovation: Coding Nights to pitch ideas outside our roadmap and make development dreams come true, weekly Product & Tech Demos and blogs to share engineering stories, access to top conferences across Europe.
- ? Impact: building a product that has a real impact on society and the environment, and sharing an office culture that prioritizes low-waste and eco-friendly practices.
- ? People-first: wind down from work at our BlaBlaShows, BlaBlaBreak retreats, weekly breakfasts and after works (when the sanitary conditions permit it) or meme battles on Slack.
- ? Shared company principles that guide us in our everyday decision-making and bring us closer to our goal(e)Find out more about our BlaBlaPrinciples.
Your Future Benefits:
- ? Trainings and career development programs
- ?Free carpooling & ? bus-rides wherever whenever
Interested in joining the ride? Here's what your hiring journey will look like:
- a 30-min video-call with one of our Talent Acquisition Managers to get to know you, understand your career expectations and answer your questions
- a 60-min video-call with the Hiring Manager- Nicolas Canoui
- a 30-min video-call with one of the team members
Usually, our hiring process lasts on average 20-25 days and offers usually come within 48 hours.
BlaBlaCar is an equal opportunity employer(e)We celebrate diversity and are committed to creating an inclusive environment for all employees.
Plus d'offres d'emploi chez Blablacar
Paris, France
• CDI