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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.