About BlaBlaCar
BlaBlaCar is the worlds leading community-based travel app enabling 27 million members a year to carpool or travel by bus in 21 countries. Our team of 800 employees counts over 50 nationalities and is spread across our 5 global offices 30% working fully remotely.
Your mission
Were seeking a passionate Data Scientist to join our data squads and help us build the intelligent systems that power BlaBlaCar.
Your mission will be to:
Shape the future of our marketplace: Develop and deploy cutting-edge machine learning models that optimize our core matching algorithms ensuring drivers maximize savings and passengers find their perfect ride.
Enhance platform trust & efficiency: Build intelligent automation solutions from real-time fraud detection and AI-powered content moderation (text images) to leveraging generative AI for automated translation and improved customer support.
Empower data-driven decisions: Create impactful data products and applications that provide actionable insights particularly for our pricing strategy directly influencing BlaBlaCars commercial success.
Pioneer with generative AI: Explore and implement innovative generative AI use-cases to boost internal efficiency automate operational tasks and democratize data access across the company.
Your responsibilities
As an experienced Data Scientist you will:
Develop & deploy ML models: Design build and ship machine learning models into production collaborating closely with ML Engineers to directly enhance our core marketplace (e.g. matching ETA).
Implement automation of internal capabilities: Implement intelligent solutions for real-time fraud detection utilize deep learning for profile picture moderation and leverage LLMs for text moderation and generative AI for tasks like translation.
Build data products for business impact: Create intuitive data applications and dashboards that directly enable business teams (e.g. pricing analysts) to visualize insights test hypotheses and refine strategies.
Champion generative AI innovation: Actively identify prototype and implement generative AI solutions to enhance employee productivity and automate key operational processes.
Inform company strategy: Leverage your strong business acumen and data expertise to advocate for data-informed decisions and impact the companys strategic decisions.
Collaborate across a 360 data team: Work within our autonomous data team comprising ML Engineers Data Analysts Data Engineers and fellow Data Scientists managing projects end-to-end.
Your qualifications
At least 3 years of professional experience in data or software engineering with an experience putting Machine Learning models in production or producing data-based applications.
Knowledge of Machine Learning theory statistics and probabilities and/or econometrics modeling is required.
Fluency in SQL and Python. Knowledge of main machine learning packages (scikit XGBoost etc) and/or MLOPs frameworks (KubeFlow Tensor FLow Vertex AI etc) are a plus. An experience in developing python data visualization apps (Streamlit Flask Dash etc) is also a plus.
Excellent communication skills: You are able to explain your models clearly to both analysts and decision makers.
Pragmatic approach to problems: You can design intermediate solutions in an agile environment and put them in production.
Strong business sense: You like to partner with business managers to propose new strategies and validate their hypotheses through data.
Fluent in English
What we have to offer
4 additional weeks on top of legal maternity/paternity leaves
50% healthcare coverage (Alan)
Financial support for home office equipment
Minimum 25 days holiday per year
Local meal plan policy (Swile card)
50% transportation paid (Forfait Mobilité Durable)
Free unlimited carpooling & bus rides
Personal growth via trainings mentorship and internal mobility programs
Employee Stock ownership plan
Regular team building events
1 day off per year to test our product
1 day per year for social engagements with non-profits
Interested in joining the ride
a 30-min video-call with Maxime Gaudilliere Talent Acquisition Manager to get to know you understand your career expectations and answer your questions
a 45-min video-call with Fabio Cecchi hiring manager
a 90-min technical assessment with 1 Data Scientist & 1 Software Engineer