Data Scientist (W/M)

You will be part of a central data enterprise team within the data technology pillar that aims at building the best data technology solutions for the client. You will work with other engineers and product teams to create the best-in-class data platform with leading capabilities to support the business solve the most critical challenges through data solutions.

Your Role:

• Very high complexity analytical models (combinatorial models, deep learning, on structured and unstructured data, 'at rest' and streaming);
• Implementation in code and/or use/administration at "Expert" (certified) level of PaaS cloud services (Azure preferred), advanced analytics libraries (TensorFlow, Keras, Caffe, PyTorch) and Big Data tools (e.g. Kafka, Hadoop, Spark and equivalents).

• Further academic training (at Master's or PhD level) in the area of applied statistics, data mining, machine learning or related quantitative discipline;
• Microsoft Certified Azure Data Scientist Associate Certification;
• More than 5 years of experience as a Data Scientist;
• Good technical knowledge of data architecture, different data structures, data normalization and dimensional modeling;
• Knowledge in Azure tools: Databricks, Data Factory and Data Lake;
• Experience in processes supporting data transformation and control (ETL);
• Strong knowledge in programming languages, namely SQL, Python, PySpark;
• Experience in reporting tools: Sas Enterprise Guide, PowerBI and DAX/M language;
• Strong analytical skills and critical spirit;
• Sense of responsibility and rigor, and focus on problem solving.

Referral bonuses for recommending your friends to Capgemini Engineering;

Continuous training on Next*;

Offices in a great location;

Participation in international projects;

Integration in a multinational company;

Career Evolution.