Data Scientists / ML Engineers

The team addresses many use cases for Data Science, involving a variety of Machine Learning and AI technologies. For example:

• Scoring the risk of business failure with Machine Learning models
• Extracting information from images and documents with Transformers and LLMs
• Identifying companies with a custom search engine using embeddings
• Building and mining knowledge graphs
• Financial modeling and simulations

The Data Lab's work includes solid Software Engineering practices to achieve operational integrations in internal tools and client applications. Data Lab’s developments also include data extractions from the company’s databases and management of CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, Apache Airflow, and in the cloud.

Knowledge sharing through presentations between team members, training, and technology monitoring during dedicated time are all part of how the Data Lab operates.

Your missions:

• You join Data Lab team and most often work in pairs or small teams on innovative projects.

• You design and develop complete solutions, from data extraction and modeling to deployment on our container infrastructures or in the cloud, and monitoring in production

• You contribute to technology monitoring and knowledge sharing within the teamThe profiles we are looking for:

• Engineering degree or equivalent in Data Science

• 3 years of experience demostrating proficiency in Python and best practices for code review and continuous integration

• Use of Linux and Git

• Autonomy, curiosity, rigor

• English and French are mandatory: interactions with business teams all around the world

Recruitment process:

• Technical interview (video), including a review of the candidate's professional background — estimated duration: 1 hour
• Technical assessment in Python and Machine Learning, without AI coding assistance — two Colab notebooks, approximately 45 minutes each
• Interview with the human resources department — estimated duration: 45 minutes
• Job offer