Kevin Forest
ML EngineerDirecteur, Data Science at Intact
Intact
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Directeur, Data Science at Intact
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate about data and AI products. Specialized in the development and implementation of AI solutions for enterprises. Led many different teams in many different contexts.
Université Laval
Bachelor of Science (B.Sc.), Statistics, concentration Data Science
January 1, 2013 – January 1, 2016
Intact
Directeur - Data Science
April 1, 2020 – Present
Intact
Technical Product Owner - Data Science & MLOps
November 1, 2018 – April 1, 2020
Intact
Team Lead - AI Engineering
June 1, 2017 – November 1, 2018
Intact
Data Scientist
May 1, 2016 – May 1, 2017
Cultural Fit Analysis
The candidate has a strong background in data science and machine learning, which aligns with an ML Engineer role. However, the entire professional experience is with a single company, Intact, which might indicate a lack of diverse industry exposure or adaptability to different organizational cultures. The progression through leadership and management roles (Director, Technical Product Owner, Team Lead) suggests a potential shift away from hands-on ML engineering, which could impact cultural fit for a purely technical ML Engineer role. The breadth of skills is good within the ML/DS domain, but the lack of project diversity outside of Intact is a limitation.
Soft Skills & Operational Fit
The candidate's career progression from Data Scientist to Director - Data Science at a single company (Intact) suggests strong loyalty, leadership, and project management skills. The roles indicate experience in cross-functional team leadership and product management, which are valuable for operational fit. However, without psychometric test results, a deeper assessment of stress handling, work attitude, and team collaboration is not possible.