Margot Barbet
About Margot Barbet
Margot Barbet is a Data Scientist with extensive experience in machine learning and quantitative analysis. She currently works at HireSweet, where she manages machine learning projects and mentors interns.
Current Role at HireSweet
Margot Barbet serves as a Data Scientist at HireSweet since 2019. In this role, she is responsible for managing machine learning projects throughout their entire life cycle. She implements machine learning models, including Query Depending Ranking and Natural Language Processing (NLP), specifically for the company's recommendation systems. Additionally, she oversees the deployment and production monitoring of these models, ensuring their effectiveness and reliability. Margot also mentors and manages interns, contributing to the development of future talent in the field.
Previous Experience
Margot Barbet has accumulated diverse experience in data science and quantitative analysis. She worked as a Data Scientist at AgilOne from 2018 to 2019 in the San Francisco Bay Area. Prior to that, she completed a Research Scientist Internship at Ministère de la Défense in 2018 for five months in Balard, Paris. Additionally, she served as a Quantitative Analyst Intern at Crédit Agricole CIB from 2016 to 2017, working in both Paris and New York. Her early experience includes an internship at Safran Aircraft Engines in 2014.
Educational Background
Margot Barbet has a strong educational foundation in mathematics and applied sciences. She studied at Lycée Robert Doisneau, where she achieved a Baccalauréat Scientifique from 2009 to 2012. Following this, she attended Lycée Saint Louis, completing a Classe préparatoire aux Grandes Ecoles in Mathematics and Physics from 2012 to 2014. Margot then pursued higher education at Ecole des Ponts ParisTech, earning a Master of Science in Applied Mathematics from 2014 to 2018. She furthered her studies at École normale supérieure Paris-Saclay, obtaining a Master's degree in Mathématiques, Vision, Apprentissage from 2017 to 2018.