Data Scientist - Decision Intelligence & Recommendation Systems

Media Gmbh

Ingolstadt, Germany

23 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

de.indeed.com

Tech stack

Artificial Intelligence BigQuery Computer Programming Python (Programming Language) Machine Learning Recommender Systems Tensorflow SQL Databases Unstructured Data Google Cloud Pytorch Large Language Models

+7 more

Generative AI Scikit Learn Information Technology Optimization Algorithms Xgboost Machine Learning Operations Data Pipelines

Job 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

Requirements

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