Working Student Product Customer Engagement - Recommendation (m/f/d)

Your Tasks

• Design and maintenance of statistical and machine learning models for demand forecasting and inventory optimization
• Analysis of large-scale supply chain data (SAP, RELEX, sales) for trend detection, anomaly identification, and improvement opportunity assessment
• Development of decision-support tools and dashboards for replenishment, planning, and inventory management
• Collaboration with Operations, IT, Category Management, and other stakeholders for the integration of predictive models into supply chain processes
• Monitoring and improvement of KPIs such as forecast accuracy, inventory turns, stock availability, and system usage
• Leadership of research initiatives on new forecasting techniques, optimization models, and technologies
• Support of automation initiatives for manual processes, including user training and change management
• Contribution to continuous improvement through the identification and implementation of best practices

Your Profile

• Bachelor’s/Master’s in Data Science, Operations Research, Industrial Engineering, Statistics, Mathematics, Supply Chain Management, or related field
• Advanced proficiency in Python or R for analytics and predictive modeling
• Strong SQL skills and experience handling large datasets
• Knowledge of time series, machine learning forecasting, and inventory optimization techniques
• Familiarity with optimization tools (. Gurobi, SAS)
• Strong quantitative and problem-solving skills, with ability to communicate complex analytics clearly
• Collaborative, proactive, and adaptable mindset
• Fluent in English, fluency in German is an advantage

About Us

We are looking for you as a Working Student (m/f/d) in our Product team to drive our strategic data projects forward with your innovative approach and fresh ideas. Our interdisciplinary team is characterized by agility, openness and respect. With us, you have the opportunity to contribute new impulses, actively shape processes and shape the retail media world of MediaMarktSaturn in a forward-looking way.

The best solutions come from bringing together diverse perspectives. Embracing diversity is key to achieving our vision of becoming the Experience Champion. We value inclusion, foster equal opportunity, and welcome you to be part of our team.

Additional Benefits

Job Infos

​Location: Ingolstadt

MediaMarktSaturn Retail Group

Department: Internships & Students

Entrylevel: Students

Type of Employement: Part Time

Working Hours: 20

Persona: Job Requisition HQ Young Talent