Research Scientist at Google DeepMind
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I’m a Research Scientist at Google Research working on Natural Language Processing.
New York University
Researcher, Computer Science
January 1, 2022 – July 1, 2022
Technische Universität Darmstadt
Dr. Ing / PhD, Computer Science
January 1, 2019 – January 1, 2022
University of Massachusetts Amherst
Master of Science - MS, Computer Science
January 1, 2017 – January 1, 2017
University of Mannheim
Master of Science - MS, Data and Web Science
January 1, 2015 – January 1, 2018
University of Augsburg
Bachelor of Science (B.Sc.), Business Informatics
January 1, 2012 – January 1, 2015
Google DeepMind
Research Scientist
August 1, 2022 – Present
Zurich, Switzerland
New York University
Researcher
January 1, 2022 – July 1, 2022
New York, United States
Meta
Research Scientist Contractor (FAIR)
October 1, 2021 – January 1, 2022
London, England, United Kingdom
Meta
Research Scientist Intern (FAIR)
June 1, 2021 – September 1, 2021
London, England, United Kingdom
Technische Universität Darmstadt
Researcher - PhD Candidate
January 1, 2019 – January 1, 2022
Spotify
Data Scientist (Contractor - NL)
June 1, 2018 – December 1, 2018
Stockholm, Sweden
Netlight
Data Scientist / Machine Learning Consultant
June 1, 2018 – November 1, 2018
Munich Area, Germany
Molecular Health GmbH
Machine Learning Researcher
June 1, 2017 – April 1, 2018
Heidelberg, Baden-Württemberg, Germany
KPMG Deutschland
Advisory Data & Analytics - Internship
June 1, 2016 – September 1, 2016
Mannheim und Umgebung, Deutschland
Universität Mannheim
Research Assistant - NLP
April 1, 2016 – November 1, 2016
Universität Mannheim
Research Assistant
September 1, 2015 – April 1, 2016
munich enterprise software GmbH
SAP Junior Consultant
February 1, 2014 – October 1, 2015
Garching bei München
University of Augsburg
Research Assistant
February 1, 2014 – March 1, 2015
Universität Augsburg
BMW Group
SAP Junior Consultant
February 1, 2014 – October 1, 2015
München und Umgebung, Deutschland
munich enterprise software GmbH
Working Student
January 1, 2012 – January 1, 2014
Garching bei München
Cultural Fit Analysis
The candidate's background is heavily skewed towards research and advanced Machine Learning/NLP, with roles at Google DeepMind, Meta, and NYU. While they have prior Data Scientist experience at Spotify, their recent trajectory is more aligned with a Research Scientist profile. The target role of 'Data Analyst' might be a significant step down in terms of technical depth and research focus compared to their recent experience. This could lead to a potential mismatch in expectations and career aspirations. The breadth of their academic and early career experiences (SAP, business informatics) shows versatility, but the core of their recent expertise is highly specialized in ML/NLP research.
Soft Skills & Operational Fit
The candidate's extensive research and project work, particularly in collaborative environments like Meta (FAIR) and university research groups, suggests strong problem-solving, analytical thinking, and collaboration skills. Their experience in presenting research and working with stakeholders (Spotify, BMW) indicates good communication and adaptability. The PhD background implies strong self-direction and perseverance.