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Machine Learning Research Scientist at Everseen
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I enjoy creating value by solving challenging problems
Barcelona School of Economics
MSc, Data Science
January 1, 2015 – January 1, 2016
Stanford University
Coursera certificate, Machine Learning
January 1, 2014 – January 1, 2014
Université Toulouse 1 Capitole
Visiting, Applied Statistics
January 1, 2014 – January 1, 2015
Toulouse School of Economics
MSc, Economics
January 1, 2010 – January 1, 2012
Everseen
Machine Learning Research Scientist
September 1, 2021 – Present
Barcelona
Vintra
Machine Learning Research Engineer
July 1, 2017 – August 1, 2021
Barcelona, Catalonia, Spain
Stratagem Technologies
Machine Learning Research Engineer
October 1, 2016 – April 1, 2017
London Area, United Kingdom
Compass Lexecon
Data Analyst
March 1, 2013 – March 1, 2014
Paris, Île-de-France, France
European Commission
Trainee
August 1, 2012 – December 1, 2012
Brussels, Belgium
Toulouse School of Economics
Teaching Assistant
September 1, 2011 – January 1, 2012
Toulouse, France
TotalEnergies
Summer Job
August 1, 2008 – September 1, 2008
Pau Area, France
Cultural Fit Analysis
The candidate has worked in diverse environments, from startups (Vintra, Stratagem Technologies) to larger corporations (Everseen, Compass Lexecon) and academic institutions. The focus on applied research and product delivery aligns well with a dynamic, innovation-driven culture. The breadth of experience in different ML paradigms (Computer Vision, Reinforcement Learning) and industries (security, finance) suggests adaptability. However, the lack of explicit project diversity outside of work roles and limited community involvement data makes a deeper cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest strong problem-solving skills and a results-oriented approach, particularly in optimizing ML pipelines for real-time processing. Leadership experience in delivering critical products indicates good project management and team collaboration potential. However, specific soft skill assessments are not available.