Entry Level Data Scientist
BlaBlaCar
full-time
Posted on:
Location Type: Hybrid
Location: Paris • France
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Job Level
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningDeep LearningSQLPythonMLOpsscikit-learnXGBoostKubeFlowTensorFlowVertex AI
Soft Skills
communicationproblem-solvingcollaborationagilitybusiness acumenmentorshipinnovationenergyadaptabilitycreativity