Confirmed Data Scientist

Confirmed Data Scientist

BlaBlaCar

Paris or Remote, France

Your mission

We're seeking two passionate and experienced Data Scientists to join our data squads, and help us build the intelligent systems that power BlaBlaCar.

• 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

• 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.

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