Mike Rodehorst
Data AnalystPrincipal Applied Scientist at Amazon
Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal Applied Scientist at Amazon
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 love solving problems with algorithms and code, especially getting useful information from raw data. Lately my work is machine learning and speech recognition, but in the past I've also worked in image processing, multiple hypothesis tracking, and detection/estimation in the space domain.
Boston University
MS, Electrical Engineering
January 1, 2005 – January 1, 2006
University of Michigan
BSE, Computer Science
January 1, 1999 – January 1, 2003
Amazon
Principal Applied Scientist
April 1, 2023 – Present
Amazon
Sr. Machine Learning Scientist
December 1, 2019 – April 1, 2023
Amazon
Machine Learning Scientist
September 1, 2016 – December 1, 2019
Amazon
Software Development Engineer
September 1, 2014 – September 1, 2016
MIT Lincoln Laboratory
Technical Staff
May 1, 2012 – September 1, 2014
MIT Lincoln Laboratory
Associate Technical Staff
January 1, 2007 – May 1, 2012
MIT Lincoln Laboratory
Assistant Technical Staff
May 1, 2003 – January 1, 2007
Cultural Fit Analysis
The candidate has a strong background in research and development within large, structured organizations (Amazon, MIT Lincoln Laboratory). While their technical depth is significant, the target role of 'Data Analyst' might be a step down from their 'Principal Applied Scientist' and 'Sr. Machine Learning Scientist' roles, potentially indicating a mismatch in career trajectory or a desire for a different type of challenge. The project diversity is limited to their professional roles, primarily in speech recognition and satellite tracking. Their experience is heavily skewed towards applied science and machine learning rather than traditional data analysis, which could be a cultural fit challenge if the role is purely analytical without a strong ML component.
Soft Skills & Operational Fit
The candidate's experience as a technical lead and advisor suggests strong leadership, problem-solving, and communication skills. Their work on operational systems indicates an ability to handle real-world deployment challenges and rapid response analysis. The long tenure at Amazon and MIT Lincoln Laboratory suggests stability and commitment.