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# Data Scientist

- **Company:** Amazon.com, Inc
- **Location:** Berlin, Germany
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Business Software, C++ (Programming Language), Data Mining, Distributed Systems, Python (Programming Language), Machine Learning, Parsing, High Performance Computing, Deep Learning, Production Code, Data Pipelines
- **Published:** July 14, 2026
- **Apply:** https://dejobs.org/x/x/22291984933B4F2AA0285EC2FEBA5A9E/job/

## About the Role

performance metrics, and automate the process of deep diving into variances * Collaborate with product and engineering teams to evaluate the impact of new features or algorithms (e.g., the Playlist Song Recommendation experiments) * Analyze the results of experiments and provide recommendations to optimize solutions * Partner with Data Engineers to develop new product based on GenAI technology * Write high quality production code About the team The DISCO team focuses on accelerating Amazon Music customer growth by empowering product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touchpoints. Basic Qualifications - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in building models for business application - Experience in patents or publications at
top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice



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