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Lead data scientist / Generative AI at MIT
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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Université Grenoble Alpes
Master of Science - MS, Statistics
January 1, 2016 – January 1, 2017
National School of Computer Science and Applied Mathematics of Grenoble
Master's degree, Computer Science
January 1, 2015 – January 1, 2017
CMA CGM
Lead Data Scientist
February 1, 2023 – Present
Singapore
MIT Professional Education
Learning facilitator @ MIT
October 1, 2022 – Present
Remote
iLex
Lead Data Scientist
January 1, 2020 – January 1, 2023
Singapore
Centre national de la recherche scientifique
Reviewer for a mathematics popularization website
August 1, 2018 – August 1, 2019
Air Liquide
Data Scientist Asia Pacific
January 1, 2018 – December 1, 2019
Singapore
Dassault Systèmes
Data Scientist
January 1, 2017 – December 1, 2017
France
UNLV Graduate College
Research Intern in Statistics
May 1, 2016 – September 1, 2016
Las Vegas, Nevada Area
Caisse d'Epargne Ile-de-France
Intern in finance
July 1, 2015 – August 1, 2015
Région de Paris, France
Lean Six Sigma Yellow Belt
Process Management International (PMI)
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
TensorFlow in Practice Specialization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (shipping, finance, research, manufacturing) and roles (Lead Data Scientist, Learning Facilitator, Reviewer) suggests adaptability and a broad perspective. Their involvement in teaching and reviewing for a mathematics popularization website indicates a passion for knowledge sharing and continuous learning. The target role is 'Data Analyst', while the candidate's experience is predominantly 'Data Scientist' and 'Lead Data Scientist'. This might indicate an overqualification or a potential mismatch in the scope of responsibilities, as a Data Analyst role typically focuses more on reporting, dashboards, and descriptive analytics rather than leading full-stack data science projects or developing advanced ML models. While the skills are highly relevant, the seniority and scope of previous roles might exceed typical Data Analyst expectations, potentially leading to a cultural fit challenge if the candidate expects more advanced, leadership-oriented work.
Soft Skills & Operational Fit
The candidate's experience as a Lead Data Scientist and Learning Facilitator suggests strong leadership, communication, and mentorship skills. Their involvement in business engagement from C-level to seafarer indicates an ability to translate complex technical concepts to diverse audiences and align data initiatives with business goals. The description of leading teams (UX, Backend, Frontend) implies good collaboration and project management capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.