Mike Conover
Data AnalystCofounder & CEO at Brightwave
Brightwave
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cofounder & CEO at Brightwave
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mike Conover leads teams building machine learning technologies that leverage the behaviors of hundreds of millions of people. Mike's work has been featured in the New York Times, the Wall Street Journal, VentureBeat, The Information and on NPR.
University of Arizona
Bachelor of Applied Science (B.A.Sc.), Management Information Systems
N/A – Present
Indiana University Bloomington
Doctor of Philosophy (Ph.D.), Informatics (Complex Systems Analysis)
N/A – Present
Indiana University Bloomington
Ph.D. Minor, Statistical Science
N/A – Present
Brightwave
Cofounder & CEO
July 1, 2023 – Present
Boulder, CO
Databricks
Staff Software Engineer
April 1, 2022 – July 1, 2023
Boulder, Colorado, United States
Workday
Director, Machine Learning Engineering
April 1, 2021 – March 1, 2022
Workday
Senior Manager, Machine Learning Engineering
April 1, 2020 – April 1, 2021
Workday
Manager, Machine Learning Engineering
April 1, 2019 – April 1, 2020
Workday
Principal Machine Learning Engineer
January 1, 2018 – April 1, 2019
SkipFlag (Acquired by Workday)
Machine Learning Engineer
December 1, 2016 – January 1, 2018
San Francisco
Manager, Machine Learning Engineering
August 1, 2016 – December 1, 2016
Staff Machine Learning Engineer
July 1, 2015 – August 1, 2016
University of California, Berkeley
Lecturer
January 1, 2015 – January 1, 2015
Senior Data Scientist
February 1, 2013 – July 1, 2015
The Truthy Project
January 1, 2011 – December 1, 2012
Focused on the early detection of covert propaganda campaigns, Truthy is a machine learning and visualization platform for understanding how information spreads in complex networks.
Wilderness First Responder
NOLS Wilderness Medicine
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning large corporations (LinkedIn, Workday, Databricks) and a startup (SkipFlag, Brightwave). The 'Truthy Project' indicates an interest in complex systems and societal impact. While the candidate's experience is heavily skewed towards Machine Learning Engineering and Data Science, the target role is 'Data Analyst'. This represents a significant mismatch in the typical scope and depth of responsibilities. The candidate's profile suggests a much more senior and specialized role than a standard Data Analyst position, potentially leading to overqualification or misalignment with day-to-day tasks. The breadth of skills is strong within ML/Data Science, but the direct alignment with a pure 'Data Analyst' role is limited.
Soft Skills & Operational Fit
The candidate's career progression from Senior Data Scientist to Staff Software Engineer and CEO, along with roles in managing ML engineering teams, suggests strong leadership, strategic thinking, and project management skills. The co-founder role indicates entrepreneurial drive and problem-solving capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.