Axens is an international supplier of technologies, equipment, products and services enabling the transformation of oil, gas, biomass into clean fuels, as well as the production and purification of the main petrochemical intermediates. Its unique range of solutions guarantees optimal performance with a reduced ecological footprint. Axens’ global offer is based on highly qualified personnel, modern catalyst and adsorbent production sites and an extensive global network of industrial, commercial and technical support services.
Axens is looking for a data scientist, who will be responsible for the valuation of data in the business domain(s) for which they intervene through data analyzes to support the business in their understanding of the process in order to make the decision-making process faster. and efficient. The Data Scientist will have the ability to work in the Cloud, with the ability to instantiate machines with an environment specific to ML projects and deploy applications through container orchestrators.
The proposed position is part of the ongoing developments within the Digital Service Factory. This Axens entity is in charge of implementing innovative digital solutions related to the use of data from different sources. The Data Scientist will be in charge of providing an answer on the feasibility of use cases through the exploration of data and subsequently the design and evaluation of Machine Learning algorithms based on the use of metrics defined by the profession. The targeted applications are the optimization of the industrial performance of the various Axens catalyst manufacturing plants around the world, the Axens processes licensed to our customers, but also potentially internal processes.
All details are available on this job posting.
À lire aussi
Nikos Paragios – Seeing the Invisible – Doing the Impossible: Reinventing Healthcare with Generative AI-powered diagnosis, treatment and beyond
Nikos ParagiosDecember 04, 2024Vulpian Amphitheater, 12 rue de l’École de Médecine (75006 Paris) Nikos Paragios (52) is distinguished professor of Mathematics (on partial leave) at Ecole CentraleSupelec, the school of engineering ofthe University of Paris-Saclay and...
Deeply Learning from Neutrino Interactions with the KM3NeT neutrino telescope
2022 PhD/ DIAI Projects @AstronomyParticle physics and graph neural networks Santiago PENA MARTINEZ Project Summary A new generation of neutrino experiments is in the horizon looking to explore many of the open questions on neutrino properties and searching for...
Alon Halevy – Well-being, AI, and You: Developing AI-based Technology for Well-being
Alon HalevyDecember 04, 2024Vulpian Amphitheater, 12 rue de l’École de Médecine (75006 Paris) Alon Halevy is a Distinguished Engineer in Google Cloud. From 2019 until November 2023, he was a director at Meta’s Reality Labs Research, where he worked on Personal Digital...
Shen Liang – Knowledge-guided Data Science
Shen LiangMay 18, 4 PM online (zoom) linkedinAbstract This tutorial presents an overview of knowledge-guided data science, a rising methodology in machine learning which fuses data with domain knowledge. We will present numerous case studies on this methodology...