Data Scientist Decision Intelligence & Recommendation Systems (mfd)

• 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

• Masters 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

Our best solutions arise when diverse perspectives come together. Diversity is key to achieving our vision of becoming the Experience Champion in Consumer Electronics. We value diversity promote equal opportunities and foster inclusion join our team!

Location:Ingolstadt

MediaMarktSaturn Retail Group

Department:HQ - Priorization Management & CDO

Entrylevel:Professional Level

Type of Employement:Full Time

Working Hours:375

Persona:Job Requisition HQ Employee

Recruiter:Lea Ellerich

Recruiter:Lea Theresa Ellerich