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About the Role
We work with our clients on 100% data missions that combine technical and operational aspects. Depending on your profile and interests, you will have the opportunity to work on projects that address purely technical challenges or more business-oriented issues. Our clients operate in various sectors such as Luxury, Retail, Telecom, Banking, and Insurance, and the data science mission topics are diverse.
Responsibilities
- Conception of revenue forecasting models for a retailer's e-commerce site.
- Creation and industrialization of a recommendation engine to optimize website visitor conversion.
- Creation of a churn score to identify customers of a mass distribution player who are slowly losing engagement.
- Implementation of customer segmentation to optimize marketing and sales actions (targeting, retention, based on contact channel preferences).
Requirements
- Excellent interpersonal skills.
- Willingness to be involved in the success of client projects.
- Good analytical and synthesis skills.
- Particular importance placed on the quality of deliverables and the presentation/simplification of results.
- Curiosity and commitment to staying informed about market developments.
- Desire for continuous learning and professional growth.
- Minimum of three years of experience.
Skills
- Statistical modeling techniques
- Machine learning techniques (Random Forest, XGBoost, K-means, etc.)
- SQL
- Python
- R
- SAS
- Dataiku
- Alteryx
- GCP
- AWS
- Azure
Experience Level
- Minimum of three years of experience
Education Level
- Data degree from a university or business school
About the Company
- We intervene with our clients on 100% data missions that combine technical and operational aspects.
- Our clients are present in various sectors of activity (Luxury, Retail, Telecom, Banking, Insurance, etc.).