Role overview
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.
What you'll work on
- 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.
What we're looking for
- 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
Tags & focus areas
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