Data Scientist - Decision Intelligence & Recommendation Systems (m/f/d)

Your Tasks 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 Your Profile 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 About Us 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! Additional Benefits Job Infos ​Location: Ingolstadt MediaMarktSaturn Retail Group Department: HQ - Priorization Management & CDO Entrylevel: Professional Level Type of Employement: Full Time Working Hours: 37,5 Persona: Job Requisition HQ Employee Recruiter: Lea Ellerich Recruiter: Lea Theresa Ellerich