About BlaBlaCar
BlaBlaCar is the world’s 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
We're 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 BlaBlaCar's 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 company’s 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
