Jonas Pfeiffer

Data Analyst

https://talent.gravityer.com/jonas-pfeiffer

Research Scientist at Google DeepMind

Google DeepMind

Key Strengths

Extensive academic background including a PhD in Computer Science and multiple Master's degrees, demonstrating strong theoretical foundations.
Significant research experience with top-tier organizations like Google DeepMind, Meta (FAIR), and NYU, focusing on NLP and Machine Learning.
Practical experience in Data Science and Machine Learning roles at Spotify and Netlight, involving data pipeline development, A/B testing, and model deployment.
Early career experience with SAP, SQL, and data analysis at KPMG and BMW, indicating a foundational understanding of data systems and business intelligence.
Published research at major NLP conferences (NAACL, ACL BioNLP Workshop), showcasing contributions to the field.

Cultural & Operational Fit

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.

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Education

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

Experience

Google DeepMind

Research Scientist

August 1, 2022 – Present

Zurich, Switzerland

New York University

Researcher

January 1, 2022 – July 1, 2022

New York, United States

Key Strengths

Extensive academic background including a PhD in Computer Science and multiple Master's degrees, demonstrating strong theoretical foundations.
Significant research experience with top-tier organizations like Google DeepMind, Meta (FAIR), and NYU, focusing on NLP and Machine Learning.
Practical experience in Data Science and Machine Learning roles at Spotify and Netlight, involving data pipeline development, A/B testing, and model deployment.
Early career experience with SAP, SQL, and data analysis at KPMG and BMW, indicating a foundational understanding of data systems and business intelligence.
Published research at major NLP conferences (NAACL, ACL BioNLP Workshop), showcasing contributions to the field.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Jonas Pfeiffer

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Key Strengths

Cultural & Operational Fit