Hybrid Entry Level Data Scientist

at BlaBlaCar

• Job title: Entry Level Data Scientist
• Job type: Full Time
• Experience level: Entry level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Flask, Python, SQL
• Location requirements: Hybrid, Paris, France

About the role

• Junior Data Scientist at BlaBlaCar developing and deploying machine learning models to enhance customer support. Collaborating within a data team to optimize processes and drive efficiency.

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.

Requirements

• 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

Benefits

• 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
• 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