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 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