Hiring Data Science

Job Description:

Job description

The Data Lab brings together Data Science and Software engineering skills to develop and
deploy solutions that improve the company's processes, products and services.
The team seeks to make use of AI and data science techniques and to implement
development best practices to deploy applications and APIs on Docker/Kubernetes
infrastructures, in Apache Airflow and in the Cloud.
Sharing knowledge through presentations between team members, training and technology
watch on dedicated time are all part of the Data Lab's culture.
About
The use cases for data science are varied and lead to concrete implementations. Here are
some examples:
 Score the risk of corporate failure in every country
 Extract information from images, documents and web scrapping
 Build knowledge graphs from corporates linkages
 Specialize search engine and language models in identifying companies
 Generate visual and textual explanations for AI model predictions
Missions
 You join Data Lab team and work mostly in pairs or in small teams on
innovative projects.
 You design and fully develop solutions that can implement AI technologies.
 You contribute to technology watch
Profile
 Academic background in Data Science: supervised and unsupervised machine
learning, natural language processing…
 Min 2 to 5 years; experience in Python application development with high quality
standards and implementation of code reviews and continuous integration best
practices.
 Experience of Docker/Kubernetes deployment and cloud applications desirable
 Use of Linux and Git
 Practice of SQL and experience with NoSQL databases (document, graph)
 Autonomy, curiosity, rigor