Data scientist

Data scientist :

The Data Scientist plays a critical role as main actor for Data Exploitation focused on Analytics but also contributes to Data architecture and management.

The goal of the Data Scientist is to extract new information from data (insights or predictions) with which the Business can generate value.

The Data Scientist also contributes to the definition and the implementation of the software strategy, and to the evolution of the A&AI environment.

The function of Data Scientist covers two related roles, one “model-oriented” and one “deployment-oriented” (described below).

The common skills (hard skills – mathematics and modelling – and soft skills) are described below, as well as the skills specific to deployment.

Note that the efficiency of a team depends on the combination of various qualitative profiles. It is obviously not frequent to master both aspects simultaneously.

Techniques / Métier:

• A&AI languages and Tools: R/Rstudio, SAS

• Programming languages Python, Spark, scripts Ansible, SQL, Scala (optional), Kafka, (optional); Flink (optional)

• Development Tools & Libraries: Conda, GitLab, Jupyter, PyCharm,

• Deployment tools like Nexus, Kubernetes, Docker, Jenkins, cdd, RA, Control-M (batch mode), Fortify&SonarCube

• Machine Learning: applies effectively different algorithms with a good usage of parameters available

• Master mathematics, probability and statistics

• Data Processing: collaborates with Data Engineers to optimise database engines accordingly to data processing needs.

• And strong skills in: methodology, data visualisation, deployment method, industrialisation tools, etc.

Attitude / Comportement

• Proactively invests time in continuous learning and knowledge improvement.

• Demonstrates awareness of efficiency and efficacy.

• Thinks out of the box outside existing processes and frameworks.

• Works with energy and empowerment to deliver great results and a large contribution to the company’s success

• Is constructive by being open to the changes and to other’s opinions, ideas and feedback