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# Data Scientist - Decision Intelligence & Recommendation Systems

- **Company:** Media Gmbh
- **Location:** Ingolstadt, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Computer Programming, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, SQL Databases, Unstructured Data, Google Cloud, Pytorch, Large Language Models, Generative AI, Scikit Learn, Information Technology, Optimization Algorithms, Xgboost, Machine Learning Operations, Data Pipelines
- **Published:** August 12, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=6d46f3e8f55ab3dd

## About the Role

* Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Operations Research, or a related quantitative field
 * Proven experience developing and deploying machine learning solutions in retail, e-commerce, supply chain, or other data-intensive industries
 * Strong knowledge of machine learning, statistics, predictive analytics, optimization techniques, and experimentation
 * Excellent programming skills in Python and SQL, with experience processing large-scale structured and unstructured datasets
 * Hands-on experience with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and modern MLOps practices
 * Experience with machine learning frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch
 * Familiarity with Generative AI, LLMs, embeddings, and recommendation systems is a strong advantage
 * Strong analytical and problem-solving skills with the ability to translate business needs into AI solutions
 * Excellent communication and stakeholder management skills, with the ability to explain complex concepts to both technical and business audiences
 * A collaborative mindset, curiosity, and a passion for leveraging data and AI to create measurable business impact

## Description

* Partnership with business stakeholders to identify high-impact AI opportunities, translate business challenges into scalable AI solutions, and communicate technical insights to technical and non-technical audiences
 * Development of decision intelligence across customer intelligence, merchandising, pricing, supply chain, logistics, inventory management, store operations, and marketing
 * Design, development, and deployment of machine learning models and advanced analytics solutions for retail use cases
 * Development of predictive, prescriptive, and optimization models to improve business performance and operational efficiency
 * Development of recommendation systems, forecasting models, customer segmentation, demand prediction, inventory optimization, and other AI-powered solutions
 * Collaboration with Data Engineers and ML Engineers on scalable data pipelines, feature stores, and production-ready ML solutions using Google Cloud Platform (BigQuery, Vertex AI)
 * Evaluation, monitoring, and continuous improvement of model performance and business value


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