XGBoost Jobs
13 XGBoost jobs currently listed
Browse 13 open positions that require XGBoost experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
By the numbers
- 10 companies hiring
- Mostly Senior roles
- Often paired with Python, SQL, scikit-learn, pandas
- Top locations: Berlin, London, Amsterdam
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
AI Data Scientist (m/f/d)
Munich, Germany - English (Fluent)
Python Software Engineer
Amsterdam, Netherlands - English
Data Scientist (w/m/d)
Berlin, Germany - English
(Senior) Data Scientist (w/m/d)
Berlin, Germany - English
Forward-Deployed Data Scientist II
London, United Kingdom - English
Machine Learning Engineer - Gen AI
London, United Kingdom - English
Senior Data Scientist (w/m/d)
Berlin, Germany - English
Senior Data Scientist (w/m/d)
Berlin, Germany - English
Senior Full-Stack ML Engineer (m/w/d)
Berlin, Germany - English (Fluent)
Sr. Data Science Manager (m/w/x)
Berlin, Germany - English
Frequently Asked Questions
- There are currently 13 open positions that list XGBoost as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find XGBoost jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.