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Senior Data Scientist, ML at Glassdoor
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Harvard University
Doctor of Philosophy (Ph.D.), Applied Physics
January 1, 2009 – January 1, 2013
Nanyang Technological University Singapore
Graduate studies, Electrical and Electronics Engineering
January 1, 2007 – January 1, 2007
Technical University of Munich
Diplom, Engineering Physics
January 1, 2004 – January 1, 2009
Glassdoor
Senior Data Scientist, ML, Search
November 1, 2017 – Present
Glassdoor
Data Scientist, Machine Learning, Search
July 1, 2017 – Present
Glassdoor
Data Scientist
April 1, 2016 – Present
Insight Data Science
Data Science Fellow
September 1, 2015 – November 1, 2015
Berkeley Lab / UC Berkeley
Postdoctoral Researcher
September 1, 2014 – December 1, 2015
Berkeley
Harvard University School of Engineering and Applied Sciences
Postdoc scholar
June 1, 2013 – September 1, 2014
Cambridge, MA
Harvard University School of Engineering and Applied Sciences
PhD
October 1, 2008 – May 1, 2013
Cambridge, MA
Walter Schottky Institute, Technische Universitat Munchen
Research Intern
May 1, 2008 – July 1, 2008
Munich
National University of Singapore
Research Intern
November 1, 2007 – December 1, 2007
Singapore
BMW
Engineering Intern
February 1, 2007 – April 1, 2007
Siemens
Technology Intern
March 1, 2006 – April 1, 2006
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research and data science roles, which suggests a strong fit for data-driven cultures that value analytical rigor and scientific methodology. The transition from physics research to data science, including a Data Science Fellow program, demonstrates adaptability and a proactive approach to career development. However, the resume lacks explicit details on contributions to team projects, mentorship, or involvement in broader company culture initiatives, making a comprehensive cultural fit assessment challenging. The target role of 'Data Analyst' might be a slight mismatch given the candidate's 'Senior Data Scientist, ML, Search' experience, potentially indicating overqualification or a shift in career focus that needs clarification.
Soft Skills & Operational Fit
The candidate's extensive academic and professional research background suggests strong problem-solving, critical thinking, and independent work skills. The progression from Data Scientist to Senior Data Scientist at Glassdoor indicates leadership potential and ability to take on more complex responsibilities. However, without specific project details or team collaboration experiences, it is difficult to fully assess operational fit and soft skills beyond a general capacity for rigorous analytical work.