Senior Data Scientist

Job Description Roles & Responsibilities Job Description As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias). - Business value delivery: 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 enriching source systems and the Data Lakehouse with predictive data. Desired Candidate Profile Qualifications Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics. Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects. Technical Skills Mastery of ML: Classical algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI frameworks: Proficiency in 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 environment: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak. Methodology: Working in Agile mode (Scrum of Scrums, weekly follow-up committees). Collaboration: multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts). Company Industry IT - Software Services Department / Functional Area IT Software Keywords Senior Data Scientist Get real-time job updates only on our App