Gregory Freyd
Backend EngineerData Scientist at Thales
Thales
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist at Thales
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Télécom Paris
Advanced Master (Post MSc. Degree) Data Science, Machine Learning and Big Data
January 1, 2016 – January 1, 2017
LUT University
International Business and Technology Management (IBTM)
January 1, 2006 – Present
Université de Technologie de Compiègne (UTC)
Engineer, Information Technology / Innovative project management
January 1, 2004 – January 1, 2007
Thales
Data Scientist
September 1, 2018 – Present
Hello Birdie
Lead Data Scientist
January 1, 2017 – July 1, 2018
Paris
Morpho Detection, LLC
Facial Feature Points Detection using Deep Learning and Active Learning
October 1, 2016 – June 1, 2017
Thales
Work Package Manager
January 1, 2015 – September 1, 2016
Thales
Business Analyst
October 1, 2013 – May 1, 2015
Thales
Software Engineer
May 1, 2009 – October 1, 2013
Thales
Business analyst
February 1, 2007 – May 1, 2009
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on data science and machine learning, which is not directly aligned with a pure Backend Engineer role. While there is prior software engineering experience, the recent 7+ years have been heavily concentrated in data science. This might indicate a potential mismatch for a role primarily focused on backend systems development without a significant data science component. The long tenure at Thales in various roles suggests loyalty and adaptability within a large organization.
Soft Skills & Operational Fit
The candidate's diverse roles from Software Engineer to Lead Data Scientist and Work Package Manager suggest adaptability and a capacity for leadership and cross-functional collaboration. Experience with Agile (SCRUM) indicates familiarity with modern development methodologies. The description of building a predictive API at scale on AWS implies strong operational understanding for deploying and managing data-intensive applications.