Help & Supportcareers@gravityer.com
Data Science, MLOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Université Grenoble Alpes
Doctor of Philosophy - PhD, Computer Science
September 1, 2009 – October 1, 2013
Université Joseph Fourier (Grenoble I)
Master, Computer science
January 1, 2004 – January 1, 2009
Lycée Marie Curie
Baccalauréat S, spécialité mathématiques
January 1, 2001 – January 1, 2004
TKM - TecKnowMetrix
Research and Innovation Director
October 1, 2024 – Present
Grenoble, Auvergne-Rhône-Alpes, France
Skopai
CTO
December 1, 2019 – March 1, 2024
Grenoble Area, France
Skopai
Data Scientist
September 1, 2017 – December 1, 2019
Grenoble Area, France
Visiblee Inc
Data Scientist
October 1, 2014 – February 1, 2017
Paris Area, France
Universty P.Curie UPMC-Paris6
Post-doc
February 1, 2013 – February 1, 2014
Paris Area, France
Université Grenoble Alpes
PhD student
September 1, 2009 – October 1, 2013
Grenoble, France
Xerox Research Center Europe
Internship
February 1, 2009 – June 1, 2009
Meylan, France
Cultural Fit Analysis
The candidate's background is heavily skewed towards data science, research, and leadership roles within data-centric companies. While this demonstrates a strong analytical mindset, the direct alignment with a 'Backend Engineer' role, which typically emphasizes system architecture, API development, and infrastructure, is not immediately apparent from the provided experience. The lack of specific backend engineering projects or skills listed makes it challenging to assess cultural fit for a traditional backend team.
Soft Skills & Operational Fit
The candidate's career progression from Data Scientist to CTO and Research and Innovation Director suggests strong leadership, strategic thinking, and problem-solving abilities. The academic background indicates a capacity for in-depth research and analytical thinking. However, without specific project details or direct experience in backend engineering, it's difficult to assess operational fit for a pure backend role.