Machine Learning Research Scientist, Creative Technologist
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Pittsburgh
BS, Neuroscience
January 1, 2011 – January 1, 2015
South Park Commons
Exploring
April 1, 2025 – Present
San Francisco Bay Area · On-site
Samsung Electronics
Senior Creative Technologist
December 1, 2022 – July 1, 2024
San Francisco, California, United States · On-site
Opendoor.com
Data Scientist
November 1, 2016 – December 1, 2019
San Francisco Bay Area
OpenAI
Machine Learning Research
January 1, 2016 – January 1, 2016
Clara Labs
Machine Learning
February 1, 2015 – March 1, 2016
Watchsend
Founder
June 1, 2013 – June 1, 2015
Mountain View, CA
Center for Neural Basis of Cognition, Carnegie Mellon University
Computational Neuroscience Researcher
September 1, 2012 – April 1, 2013
Pittsburgh PA
CloudCollar
Developer
July 1, 2012 – December 1, 2012
NextDocs
Software Engineer
April 1, 2012 – July 1, 2012
Cultural Fit Analysis
The candidate has a varied career path, moving from neuroscience research to machine learning, data science, and creative technology. This breadth suggests adaptability and a willingness to explore different domains. The experience at startups (Clara Labs, Watchsend, CloudCollar) and larger corporations (Samsung, NextDocs) indicates an ability to operate in diverse organizational cultures. However, the 'Exploring' role at South Park Commons without further detail makes current engagement unclear. The target role of 'Data Analyst' aligns with past Data Scientist experience, but the recent 'Creative Technologist' role might indicate a shift in focus.
Soft Skills & Operational Fit
The candidate's diverse experience, including founding a company and working in research, suggests strong initiative and problem-solving skills. The role at Samsung as a 'Senior Creative Technologist' implies an ability to bridge technical and creative domains, which could be valuable for communicating data insights. However, without specific project details or psychometric test results, it's difficult to fully assess collaboration, stress handling, or work attitude.