Alexandre Dubois
About Alexandre Dubois
Alexandre Dubois is a Data Science & Analytics Senior Product Manager with extensive experience in data analytics and product management. He has worked at notable companies such as L'Oréal and Jellysmack, where he has led teams and developed innovative solutions in the field of data science.
Current Role at Jellysmack
Alexandre Dubois serves as the Data Science & Analytics Senior Product Manager at Jellysmack since 2022. In this role, he leads a team comprising 2 Business Analysts and 8 Data Scientists. He is responsible for executing the data science roadmap, focusing on enhancing video editing and content performance across various social media platforms.
Previous Experience at L'Oréal
Before joining Jellysmack, Alexandre Dubois worked at L'Oréal in various capacities from 2015 to 2022. His roles included Master Data Project Manager, S&OP and Data Management Key User, Product Data Program Manager, and Data Analytics Product Owner. During his tenure, he proposed new revenue streams through longer video publications and developed an anomaly detection algorithm that identified demonetized videos on Facebook.
Educational Background
Alexandre Dubois has a strong educational foundation in engineering and data science. He studied at Lycée Descartes in Tours, completing a CPGE - PSI* program in Physics and Engineering Science from 2009 to 2012. He then earned an Engineering degree with a specialization in Information Management from Arts et Métiers ParisTech from 2012 to 2015. Additionally, he completed a Machine Learning course on Coursera in 2017.
Internships and Early Career
In the early stages of his career, Alexandre Dubois gained practical experience through internships. He worked as an Assistant Chef de Projets Logistique de Production at Valeo for 5 months in 2014 and as Chef de Projets Lean Manufacturing at Cartier for 6 months in 2015. These roles provided him with insights into project management and operational efficiency.
Specialization in Data Science
Alexandre Dubois specializes in defining and prioritizing data science projects that relate to video editing and content performance on social media platforms, including Facebook, YouTube, and Snapchat. His expertise in this area has contributed to significant improvements in content strategy and analytics within his teams.