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Paris

Vacancy opened 05-02-2019

RECRUITER'S INSIGHTS
Applications
10

Description

Company Description

BlaBlaCar is the world’s leading long-distance carpooling platform – a global, trusted community of 70 million drivers and passengers in 22 countries. The platform connects people looking to travel long distances with drivers heading the same way, so they can travel together and share the cost. With the recent integration of a coach network and a commuter carpooling service, BlaBlaCar aims to become the go-to for shared road mobility. Affordable, convenient and user-friendly, wherever there’s a road, there’s a BlaBlaCar.

Job Description

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 directly contribute to

  • Leverage machine learning algorithms to help passengers and drivers efficiently find the best BlaBlaCar carpooling 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 and drivers, crunching through massive geospatial and behavioral data sets

  • POC use-cases where machine learning can have the greatest impact from marketing and fraud to new product features.

  • Recommending and work with software engineers to implement real-time solutions to maximize millions of users’ chances of travelling with BlaBlaCar.

Qualifications

What you will need to be successful

  • Hold an advanced degree (MSc or PhD) in Data Science, Machine Learning, Computer Science, Mathematics, Statistics, Economics, or Operations Research.

  • Have a minimum 4+ years of professional experience as a Data Scientist, building predictive machine learning models in production.

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

  • Demonstrate excellent programming skills in SQL and Python. Experience working on the Google Cloud Platform is a plus.

  • Demonstrate previous use of machine learning packages: scikit, xgboost, keras ...

  • Have some experience applying data science techniques to geospatial data a plus  

  • Possess good 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: 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 your cover letter. Applications without cover letter will not be considered. 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 several face-to-face interviews and a case study.

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

common.workspaces

Benefits

BlaBlaBreak: yearly activity gathering all local team for a weekend together.
BlaBlaBreak: yearly activity gathering all local team for a weekend together.
BlaBlaParty
BlaBlaParty
BlaBlaSwap: yearly office swap in another BlaBlaCar office of your choice
BlaBlaSwap: yearly office swap in another BlaBlaCar office of your choice
BlaBlaTime: weekly global meeting where each team presents its main focus and activities
BlaBlaTime: weekly global meeting where each team presents its main focus and activities
Breakfast
Breakfast
Holidays
Holidays
International Weeks: each six months all local teams get together in the Paris HQ for a week
International Weeks: each six months all local teams get together in the Paris HQ for a week
Onboarding Week in Paris HQ
Onboarding Week in Paris HQ
Team Building Weekend
Team Building Weekend
Technology stack
Bootstrap Bootstrap
nginx nginx
Google Analytics Google Analytics
Piwik Piwik
SendGrid SendGrid
Varnish Varnish
G Suite G Suite

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