As a Senior Data Scientist, you will be responsible for the following missions:

Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized Recommendation engines (collaborative filters, content-based, hybrid systems) to improve cross-sell and up-sell. Develop Prediction models (churn, propensity, risk scoring, transaction volume forecasting).

Data and model engineering: Collaborate with Data Engineers to define features and prepare necessary training pipelines from the Datalakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, production performance monitoring (drift, bias).

Business value contribution: Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to the enrichment of source systems and the Datalakehouse with predictive data.

Desired Candidate Profile

• Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence, or Applied Statistics/Mathematics.
• Experience: 3-5 years of confirmed experience on similar predictive modeling and recommendation system projects.
• Technical Skills: Mastery of ML: Classical algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI Frameworks: Mastery of Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow or PyTorch). Big Data & Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops & CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps). Technological ecosystem: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.
• Methodology: Agile work (Scrum of Scrums, Weekly follow-up committees).
• Collaboration: Multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).