Thibaut Loiseleur

Thibaut Loiseleur has a diverse work experience in the field of data science and analytics. Thibaut started their career in 2014 as a System Maintenance Operator at Aéroports de Paris. In 2015, they interned as a Data Scientist at Oscaro, where they studied the correlation between visitor's traffic and sales and implemented a clustering algorithm for vehicles.

Thibaut then joined EPFL (École polytechnique fédérale de Lausanne) as a Teaching Assistant in 2015 and 2016, supporting students in subjects like Analyse I and Information - Calcul - Communication.

From 2016 to 2017, Thibaut worked on their Master Thesis at Oscaro, focusing on neural networks and numerical optimization for pricing. Later, they joined Oscaro.com in 2017 as a Data Scientist in the Pricing/Data Marketing team. In this role, they designed and implemented automated Google Ads accounts, extracted and loaded SEO, SEA, and content data, and developed a pricing data pipeline and neural network for pricing. Thibaut also conducted conversion/acquisition analyses.

Thibaut then worked at Malt from 2019 to 2022, first as a Data Scientist and later as a Senior Data Scientist. During this time, they designed the NLP pipeline, improved search algorithms, and implemented freelancer similarity recommendations.

Most recently, Thibaut joined Blissim in 2022 as a Lead Data role. Starting from 2023, they will also hold the same role at bsport solution.

Thibaut Loiseleur started their education journey in 2011 at Lycée Gustave Monod, where they pursued Maths Sup, Classe Préparatoire aux Grandes Écoles. Thibaut then continued their studies at Lycée Jacques Decour in 2012, focusing on Maths Spé, Classe Préparatoire aux Grandes Écoles. In 2013, they joined CentraleSupélec and obtained a Bachelor of Science (BSc) in General Engineering in 2015. To further their knowledge in the field, Thibaut enrolled in EPFL (École polytechnique fédérale de Lausanne) in 2015 and completed a Master's degree in Computer Science in 2016.