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Lead Data Scientist at Renault-Nissan-Mitsubishi
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
J'évolue depuis 7 ans en tant que data scientist technico-fonctionnel dans différentes structures. Mes différentes expériences m'ont permis d'accélérer l'acquisition de compétence en Data Science, architecture Big Data, Marketing Prédictif en temps-réel, Transformation Digitale, Management de projet et en conduite de changement.
Paris-Sud University (Paris XI)
Doctorat, Physique
January 1, 2010 – January 1, 2014
Université Paris Cité
Master
January 1, 2008 – January 1, 2010
Renault-Nissan-Mitsubishi
Lead Data Scientist
January 1, 2018 – Present
Boulogne-Billancourt Area, France
FDJ gaming solutions - Française des jeux
Head of Data Science
February 1, 2017 – Present
E3D-Environnement
Lead Data Scientist
May 1, 2015 – February 1, 2017
Région de Aix-En-Provence, France
Université Paris-Sud
Ph.D. Student
September 1, 2010 – March 1, 2014
Paris, France
CERN
Summer Student
June 1, 2009 – September 1, 2009
Région de Genève, Suisse
Machine Learning
Coursera
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research (CERN, Université Paris-Sud) and industry roles in automotive (Renault-Nissan-Mitsubishi), gaming (FDJ), and environmental consulting (E3D-Environnement). This breadth of experience suggests adaptability and an ability to integrate into various organizational cultures. The progression from PhD student to Lead Data Scientist and Head of Data Science indicates a strong drive and leadership potential. The target role of 'Data Analyst' might be a step down from their current experience level as a 'Lead Data Scientist' or 'Head of Data Science', which could impact long-term cultural fit if the role does not offer sufficient challenge or growth opportunities.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership, team management (3 people), project piloting, and evangelization of Big Data tools, indicating strong operational and communication skills. Their PhD background suggests a rigorous, research-oriented approach to problem-solving. The role at FDJ Gaming Solutions involved accompanying business teams on open-source distributed tools, suggesting good cross-functional collaboration.