Summary
Nathan Maire is a Data Scientist at Rolex in Geneva with eight years of hands-on experience building scalable data-driven solutions. Trained at EPFL with an exchange year at DTU, he combines strong academic foundations in computer science with practical exposure to production environments. At Rolex he progressed from intern to full Data Scientist within a year, leading projects that bridge research-quality models and enterprise-grade deployment. His background includes systems programming experience from a student role at Denmark’s Vejdirektoratet, reflecting comfort across the stack from prototyping to operationalization. Known for rigor (high academic marks) and attention to detail, he brings a measured, engineering-first approach to analytics in regulated luxury manufacturing. Fluent in collaborating across research and product teams, he excels at turning complex data into reliable, auditable insights.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, 5.4/6, Master's degree, Computer Science, 5.4/6 at Ecole polytechnique fédérale de Lausanne
Technical University of Denmark
Baccalauréat Scientifique (Mention Très Bien), Baccalauréat Scientifique (Mention Très Bien) at Le Gymnase Jean Sturm
English, German, French