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Principal Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technical and people leader with a focus on data and machine learning. Combines a research mindset with hands-on engineering to deliver complete, production‑ready, data‑driven systems. Strong sense of ownership and a proven track record of turning complex data into products and business value. Enjoys writing clean and elegant code. Motivated by novel ideas and by seeing them successfully realized in production.
Technische Universität Berlin
Dr. rer. nat., Statistical Physics
January 1, 2009 – January 1, 2013
Uppsala University
Theoretical Physics
January 1, 2005 – January 1, 2006
The University of Göttingen
Diplom, Mathematical Physics
January 1, 2002 – January 1, 2008
Ratepay
Principal Machine Learning
May 1, 2024 – Present
Berlin, Germany · Hybrid
Ratepay
Team Lead Machine Learning
July 1, 2023 – April 1, 2024
Berlin, Germany · Hybrid
komoot
Senior Data Scientist / Machine Learning Engineer
September 1, 2019 – June 1, 2023
Remote
Freelancer
Data Scientist / Engineer
May 1, 2018 – June 1, 2019
Berlin · Hybrid
OUTFITTERY
Machine Learning Specialist
April 1, 2014 – March 1, 2018
Berlin · On-site
Cultural Fit Analysis
The candidate has worked in diverse company environments (Ratepay, komoot, OUTFITTERY, Freelancer) and across various ML applications (fraud, routing, recommendations, NLP). This breadth of experience suggests adaptability and a willingness to tackle different challenges, which generally indicates a good cultural fit for dynamic environments. The progression from individual contributor to team lead and principal roles also shows ambition and leadership potential.
Soft Skills & Operational Fit
The candidate's experience as a Principal ML and Team Lead indicates strong leadership, strategic thinking, and project management skills. The descriptions suggest an ability to drive initiatives, mentor teams, and establish trust with stakeholders, which are crucial for operational fit in senior roles. The focus on end-to-end platform design and deployment also points to a practical, results-oriented approach.