Thibault Allart
About Thibault Allart
Thibault Allart serves as the Head of Data and Science at Dolead, where he has worked since 2020. He has a strong background in data science, holding a Ph.D. and experience in both academic and industry roles, including positions at Ubisoft and vente-privee.
Current Role at Dolead
Thibault Allart serves as the Head of Data and Science at Dolead, a position he has held since May 2020. Based in Paris, Ile-de-France, he leads a team comprised of Data Engineers, Data Analysts, and Data Scientists. His role involves overseeing data-driven projects and initiatives that leverage data science to enhance business outcomes. Under his leadership, the team focuses on developing innovative solutions that utilize data analytics to inform decision-making processes.
Professional Experience
Before joining Dolead, Thibault Allart worked as a Senior Data Scientist at vente-privee from 2017 to 2020. In this role, he contributed to various data science projects that aimed to optimize business strategies. Prior to that, he was employed as a Data Scientist at Ubisoft from 2014 to 2017, where he applied his expertise in data analysis to support gaming development and marketing efforts. His diverse experience spans both academic and industry settings.
Educational Background
Thibault Allart has a strong academic foundation in data science and statistics. He earned a Doctor of Philosophy (Ph.D.) in Mathematics and Statistics from Pierre and Marie Curie University, where he studied from 2014 to 2017. Additionally, he completed a Master's degree in Statistics at Université de Franche-Comté from 2012 to 2014. His educational journey also includes studying Computer Science at Conservatoire National des Arts et Métiers, further enhancing his analytical skills.
Data-Driven Project Management
Since joining Dolead, Thibault Allart has been instrumental in managing data-driven projects. His leadership in this area involves coordinating efforts among data professionals to ensure effective implementation of data strategies. He emphasizes the importance of data analytics in driving business decisions and improving operational efficiency, contributing to the overall success of the organization.