عالم بيانات أول

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, hybrid systems) to improve cross-selling and upselling.

Developing Prediction and Detection Models: Churn, propensity, risk scoring, transaction volume forecasting and anomaly detection / behavioral rules for anti-money laundering (AML)

- Data and model engineering:

Collaborating with Data Engineers to define features and prepare the necessary training pipelines from the Datalakehouse (Cassandra, Hive, etc.).

Implement MLOps best practices : model versioning, deployment automation, production performance monitoring (drift, bias).

- Contribution of business value:

Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems.

Interpret the results of the models and communicate the insights to Product Owners and business stakeholders.

Contribute to enriching source systems and the Datalakehouse with predictive data.

Qualifications

Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.

Experience: 3 to 5 years of proven 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).

Technology ecosystem: 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).

Additional information

Joining Devoteam means:

Working on strategic data-related projects

Benefit from personalized support for the development of your skills and certifications.

Work in a stimulating, collaborative and supportive environment

Desired Candidate Profile

Formation : Dipl me d'Ing nieur (Bac+5) avec une sp cialisation en Data Science, Intelligence Artificielle ou Statistique/Math matiques appliqu es. Exp rience : 3 5 ans d'exp rience confirm e sur des projets similaires de mod lisation pr dictive et de syst mes de recommandation.