Summary
Martin Baumgärtner is a Senior Data Scientist with 12 years of experience blending economics, statistics, and NLP to drive measurable business impact. He holds a Ph.D.-level background in econometrics and has translated academic research on central bank communication and forecasting into practical ML and embedding models. At REWE Group he has taken models from PoC to production with MLOps patterns using Dagster, dbt, GCP and Snowflake, and led A/B testing and attribution work that shaped marketing strategy and reduced churn. Martin combines hands-on data engineering—migrating systems to modern cloud data stacks—with deep causal and experimental design skills from his economics research. Based in the Cologne/Bonn region, he is comfortable moving between rigorous academic analysis and delivering production-grade analytics at scale. An interesting detail: his research applied NLP to historical central bank speeches to reveal macroeconomic effects, showing a rare crossover of monetary economics and practical ML.
12 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Economics, Master of Science - MS, Economics at Universität Duisburg-Essen