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Research scientist at FAIR (Meta AI)
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Research Scientist at FAIR (Meta AI) working on Massively Multilingual Machine Translation models
Université Grenoble Alpes
Doctor of Philosophy - PhD, Mathematics and Computer Science
January 1, 2016 – January 1, 2020
École Normale Supérieure Paris-Saclay
Master’s Degree, Mathematics and Computer Science
January 1, 2015 – January 1, 2016
CentraleSupélec
Master of Science, Applied mathematics, Engineering
January 1, 2012 – January 1, 2016
CPGE Moulay Youssef, Rabat
Classes préaparatoires MP*, Mathématiques & physiques
January 1, 2011 – January 1, 2012
CPGE Reda Slaoui, Agadir
MPSI
January 1, 2010 – January 1, 2011
Meta
AI Research Scientist
January 1, 2022 – Present
Menlo Park, California, United States
Facebook AI
Postdoctoral Researcher
July 1, 2021 – January 1, 2022
Paris, Île-de-France, France
Facebook AI
Research Intern
January 1, 2019 – June 1, 2019
San Francisco Bay Area
Université Grenoble Alpes
Researcher PhD Student
November 1, 2016 – June 1, 2020
Grenoble Area, France
Dassault Systèmes
Research Intern, data scientist
April 1, 2016 – October 1, 2016
Greater Paris Metropolitan Region
Design of a Digital Service with an Innovative Business Model for IBM France
January 1, 2015 – Present
75-hour project in my second year at Centrale Paris. Working in a team of 6 students of different nationalities and with IBM employees in France. We used business model and customer journey creation tools, as well as the IBM Bluemix developing environment.
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and AI/ML roles, primarily at Meta/Facebook AI. While this demonstrates strong analytical and research capabilities, the target role is 'Data Analyst'. The provided experience does not explicitly detail typical data analyst responsibilities such as dashboarding, A/B testing, SQL proficiency, or business intelligence tools. The project diversity is limited, focusing on academic and research-oriented tasks. This suggests a potential mismatch with a standard Data Analyst role that often requires more direct business application and less pure research.
Soft Skills & Operational Fit
The candidate's project experience at Centrale Paris involved working in a team of 6 students of different nationalities, suggesting collaboration skills. The PhD research role implies strong problem-solving and independent work capabilities. However, specific details on communication, leadership, or project management within operational contexts are not provided.