Data Scientist - Entry Level

Confirmed live in the last 24 hours

BlaBlaCar

Paris, France

Hybrid

Posted February 24, 2026

Job Description

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 and energetic Junior Data Scientist to join the Data CRT (Community Relation Team), and help us build the intelligent systems that enable our amazing agents to support the millions of BlaBlaCar members out there. Your mission will be to:

• Shape the future of the CR ecosystem: Develop and deploy cutting-edge machine learning models that optimize the processes, ensuring our members will always feel listened to and receive quickly the best support for their needs.

• 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, 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

• Develop & deploy ML models: Design, build, and ship machine learning models into production, collaborating closely with other Data Scientists and 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.

• Contribute to generative AI innovation: Actively identify, prototype, and implement generative AI solutions to enhance employee productivity and automate key operational processes.

• Grow in your role: Be ready to be mentored and learn, and bring energy and novel point of view to the team.

• 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 1 year 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. Experience with 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

• Hybrid status for this role : 2-3 days at the Office

• 4 additional weeks on top of legal maternity/paternity leaves

• 50% healthcare coverage (Alan)

• Financial support for home office equipment

pythonrustmachine learningaidataproductdesign