Help & Supportcareers@gravityer.com
Professor at Einstein Center Digital Future
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technische Universität Berlin
PhD, Machine Learning
January 1, 2008 – January 1, 2011
University of Tübingen
MSc, Neuroscience
January 1, 2005 – January 1, 2007
University of Zurich
Neuroscience
January 1, 2004 – January 1, 2005
Universität Osnabrück
BSc, Cognitive Science
January 1, 2002 – January 1, 2005
Berliner Hochschule für Technik (BHT)
Professor
September 1, 2018 – Present
Einstein Center Digital Future
Professor
January 1, 2018 – Present
Amazon
Senior Machine Learning Scientist
December 1, 2017 – September 1, 2021
Amazon
Machine Learning Scientist
January 1, 2014 – November 1, 2017
Korea University
Assistant Professor
March 1, 2013 – February 1, 2014
Seongbuk-gu, Seoul, Korea
Berlin Institute of Technology
Research Associate
January 1, 2008 – February 1, 2013
Max Planck Institute for Biological Cybernetics
Research Assistant
January 1, 2005 – January 1, 2008
Institute for Cognitive Science, Dept. Computational Linguistics
Research Assistant
January 1, 2003 – January 1, 2004
Cultural Fit Analysis
The candidate has a strong background in academia and research, with significant experience at Amazon as a Machine Learning Scientist. While the experience is highly technical and research-oriented, the target role is 'Data Analyst'. This represents a potential mismatch in focus, as the candidate's profile leans heavily towards advanced ML research rather than core data analysis tasks. The diversity of roles (academic, industry research) suggests adaptability, but the direct alignment with a typical Data Analyst role's day-to-day responsibilities is not explicitly demonstrated.
Soft Skills & Operational Fit
The candidate's extensive academic and professional background, including professorships and research roles, suggests strong analytical, problem-solving, and independent work skills. However, without psychometric test results or project descriptions, it is difficult to assess specific operational fit aspects like teamwork, stress handling, or communication clarity in a professional setting.