Principal Machine Learning Engineer / Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Georgia Institute of Technology
Master of Science (M.S.), Computer Science
January 1, 2017 – Present
Washington University in St. Louis
BS
January 1, 2011 – Present
Season
Principal Machine Learning Engineer
June 1, 2022 – Present
Meta
Software Engineer
April 1, 2020 – June 1, 2022
Quartet Health
Senior Data Scientist / Machine Learning Engineer
March 1, 2017 – April 1, 2020
Summer of Code Fellowship
May 1, 2016 – September 1, 2016
Havas
Data Scientist
January 1, 2014 – January 1, 2016
Omnicom
Data Science
January 1, 2011 – January 1, 2014
Open Source - Core Contributor
May 1, 2016 – Present
Core team member on the R package for machine learning, mlr
Cultural Fit Analysis
The candidate has worked in diverse company environments, from large tech (Meta, Google) to startups (Season, Quartet Health) and agencies (Havas, Omnicom). The open-source contribution also indicates a collaborative mindset. The breadth of experience suggests adaptability, which is a positive indicator for cultural fit. However, the target role of 'Data Analyst' is a slight shift from the predominant 'Machine Learning Engineer' and 'Data Scientist' roles, which might require an assessment of their interest and fit for a more analytical, less model-building focused role.
Soft Skills & Operational Fit
The candidate's resume indicates a strong background in technical roles requiring analytical thinking and problem-solving. The open-source contribution suggests initiative and collaboration. However, without specific project descriptions or psychometric test results, it is difficult to assess communication, teamwork, and stress handling in detail.