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Data Scientist at Decathlon
I am a 3rd year Ph.D. student in the SequeL team of INRIA Lille (a French Research Institute for Computer Science and Applied Mathematics) under the supervision of Alessandro Lazaric and Daniil Ryabko. My research interests lie in designing Reinforcement Learning algorithms with provably good performance. Before starting my Ph.D. I completed an MSc at CentraleSupélec (a French Engineering School), with a major in Applied Mathematics and Machine Learning. In parallel of my MSc and BSc, I worked for Airbus Group as an apprentice software engineer.
University of Lille 1 Sciences and Technology
Doctor of Philosophy - PhD, Mathematics and Computer Science
January 1, 2016 – January 1, 2019
CentraleSupélec
Master of Science - MS, Engineering
January 1, 2012 – January 1, 2015
Lycéee Pierre de Fermat
Classes Préparatoires aux Grandes Ecoles MPSI-MP*, Mathematics
January 1, 2010 – January 1, 2012
DECATHLON FRANCE
Data Scientist
March 1, 2022 – Present
Lille, Hauts-de-France, France
Vekia
Research Scientist
August 1, 2020 – February 1, 2022
Vekia
Lead Data Scientist
August 1, 2019 – July 1, 2020
Facebook AI
Research Intern
January 1, 2019 – April 1, 2019
Montreal, Canada Area
Inria
PHD Student in Machine Learning
December 1, 2015 – December 1, 2018
Lille Area, France
Cranfield University
Research Intern
January 1, 2014 – June 1, 2014
College Road, Cranfield MK43 0AL, United Kingdom
Airbus Group
Apprentice Software Engineer
January 1, 2013 – October 1, 2015
Le Plessis Robinson
Functional Programming Principles in Scala
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across academia (Inria, Cranfield University), research labs (Facebook AI), and industry (DECATHLON FRANCE, Vekia, Airbus Group) suggests adaptability and a broad perspective. The focus on advanced mathematical and computational problems aligns well with a data-driven culture. The progression from Research Intern to Lead Data Scientist indicates ambition and growth. However, without specific project details or team interaction descriptions, assessing cultural fit beyond technical alignment is limited.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving research and algorithm design, suggesting strong analytical and problem-solving skills. The PhD research on the exploration-exploitation dilemma in RL indicates a capacity for deep, independent work. However, specific examples of leadership, team collaboration, or project management in a lead capacity are not detailed in the provided experience descriptions, making it difficult to fully assess operational fit for a 'Lead' role beyond technical expertise.