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# Applied Machine Learning Scientist

- **Company:** StackAdapt
- **Location:** Dahlwitz-Hoppegarten, Germany (Remote available)
- **Salary:** €87,002.0 - €119,627.0
- **Contract:** Permanent contract
- **Skills:** Data Structures, Machine Learning, Data Storage Technologies, Information Technology, Production Code
- **Published:** August 13, 2026
- **Apply:** https://www.adzuna.de/details/5829325825

## About the Role

* Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
 * Have the ability to take an ambiguously defined task, and break it down into actionable steps
 * Have a comprehensive understanding of statistics, optimization and machine learning
 * Are proficient in coding, data structures, and algorithms
 * Enjoy working in a friendly, collaborative environment with others

## Description

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/ Learn more about our team culture here: https://www.stackadapt.com/careers/data-science Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK, Ireland and Germany for this position. What you'll be doing:

 * Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
 * Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
 * Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights


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