The Role
The role involves developing and deploying machine learning models, implementing automation solutions, and creating data products to enhance marketplace efficiency and decision-making at BlaBlaCar.
Summary Generated by Built In
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.
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 experienced Data Scientist to join our data squads, and help us build the intelligent systems that power BlaBlaCar.
• Shape the future of our marketplace: Develop and deploy 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:
• 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.
• Lead project portfolio & stakeholder management: Drive the end-to-end execution of a portfolio of data science initiatives with a strong strategic vision, serving as the technical lead and primary point of contact for business and product stakeholders.
• Mentor and guide: Share your knowledge and expertise with more junior Data Scientists, fostering their growth and development within the company. Encourage collaboration with other members of the team, having different expertise (ML Engineers, Data Analysts, Data Engineers)
Your qualifications:
• At least 5 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, MLFlow, 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)
• Personal growth via trainings, mentorship, and internal mobility programs
• Free unlimited carpooling & bus rides
• 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 45-min video-call with Maxime Gaudillière, Talent Acquisition Manager to get to know you, understand your career expectations and answer your questions
• a 60-min video-call with Thibault Ambard, Engineering Manager, to discuss your experience and share more details about the team
• a 90-min technical assessment with 1 Data Scientist and 1 Software Engineer
• a 30-min interview with Sébastien Labat, VP Engineering
BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Top Skills
Dash
Flask
Kubeflow
Mlflow
Python
Scikit-Learn
SQL
Streamlit
Vertex Ai
Xgboost
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The Company
What We Do
BlaBlaCar is the world’s leading community-based travel app enabling 26 million active members a year to share a ride in 21 countries. Its technology matches drivers with empty seats with passengers heading the same way, so they can share the cost of the trip. With the mission to be the go-to marketplace for shared travel, BlaBlaCar combines carpooling with bus journeys from over 4000 operators to offer a wide choice of affordable and sustainable travel solutions, all in one app. In 2022, BlaBlaCar’s trusted community connected 2 million meeting points worldwide and enabled 90 million human encounters. Carpool drivers saved 450 million euros, and all BlaBlaCar’s mobility services contributed to avoiding 1.5 million tonnes of CO2 emissions.
