Senior Data Scientist

🕒 Yesterday

🗣️🇫🇷 French Required

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Devoteam

5001 - 10000 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

Artificial Intelligence • Cloud Managed Services • Cybersecurity

Devoteam is a multinational technology consulting company that specializes in delivering innovative solutions in areas such as Artificial Intelligence, Cloud Managed Services, and Cybersecurity. With a focus on business transformation, Devoteam helps organizations optimize their IT infrastructure and migrate to cloud-native architectures. They partner with leading technology providers like AWS, Google Cloud, and Microsoft to drive digital transformation and sustainable IT practices across various industries.

📋 Description

• Develop predictive and prescriptive models: design and train Customer Segmentation models (clustering, RFM, behavioral profiling) • Build personalized Recommendation engines (collaborative filtering, content-based, hybrid systems) to improve cross-sell and upsell • Develop Prediction models (churn, propensity, risk scoring, transaction volume forecasting) • Data and model engineering: collaborate with Data Engineers to define features and prepare training pipelines from the Datalakehouse (Cassandra, Hive, etc.) • Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias) • Deliver business value: 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 Datalakehouse with predictive data

🎯 Requirements

• Engineering degree (Master’s level) with a specialization in Data Science, Artificial Intelligence, or Applied Statistics/Mathematics • 3 to 5 years of proven experience on similar predictive modeling and recommendation system projects • Strong mastery of ML: classical algorithms (regression, classification, clustering, time series) and Deep Learning (where applicable) • Proficient with Python libraries (scikit-learn, pandas, XGBoost, TensorFlow or PyTorch) • Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB) • Familiarity with containerization (Docker) and model lifecycle management (MLOps) • Experience with Cloudera Data Platform, microservices architecture, Kafka, API Gateway (Axway), Keycloak • Experience working in Agile mode (Scrum of Scrums, weekly steering committees) • Collaborative mindset: experience working in multidisciplinary teams (Data Engineers, Tech Lead, Product Owners, business experts)

🏖️ Benefits

• Personalized support for skills development and certifications • Work in a stimulating, collaborative and supportive environment

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