XGBoost is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python, R, Julia, Perl, and Scala. It works on Linux, Microsoft Windows, and macOS. From the project description, it aims to provide a "Scalable, Portable and Distributed Gradient Boosting Library". It runs on a single machine, as well as the distributed processing frameworks Apache Hadoop, Apache Spark, Apache Flink, and Dask.

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5 jobs · 5 companies · last seen 7 October 2026

There are currently 5 open roles in Berlin that mention XGBoost, posted by 5 companies. It frequently pairs with Python, PyTorch, TensorFlow. Seen most in Data Scientist (4% of their roles) and AI/ML (3% of their roles). Across those roles, 100% list it as required and 0% as nice-to-have.

Frequently asked questions

How many XGBoost jobs are available in Berlin right now?

There are currently 5 open roles in Berlin that mention XGBoost, posted by 5 companies. The board is refreshed multiple times a day — more frequently during Berlin working hours — so new roles can appear throughout the day.

Which companies in Berlin are hiring for XGBoost?

Companies currently listing the most XGBoost roles include: N26, Zeta Global, Phantom, Prior Labs, GEMA.

What skills pair well with XGBoost?

Employers who ask for XGBoost also frequently require: Python (80%), PyTorch (80%), TensorFlow (80%), LLM (80%), Deep Learning (80%).

In which Berlin job roles is XGBoost most in demand?

Based on current listings, XGBoost appears most in: Data Scientist (4%), AI/ML (3%) roles.