Job Description:

For us„Let’s Go!“is not just a slogan, it is an attitude. We love technology and we want to excite. We have fun and want to inspire. Our customers and our teams. That’s why we are looking for people who share this spirit. People who are passionate about creating the shopping experience of the future together with 50.000 colleagues across Europe.

Your tasks

• Support in the development and optimization of recommendation use cases (e.g., product recommendations, personalization)
• Analysis of customer behavior and interaction data for insight generation
• Assistance in the definition and testing of recommendation strategies and logic
• Data extraction and preparation for use cases using BigQuery datasets
• Support of A/B testing and performance analysis of recommendations
• Collaboration with:
• Data Engineers (data availability and pipelines)- Data Scientists (models and algorithms)
• Product Managers (use case definition)

• Data Scientists (models and algorithms)
• Product Managers (use case definition)
• Monitoring and improvement of:- Recommendation performance (CTR, conversion, engagement)

• Recommendation performance (CTR, conversion, engagement)
• Contribution to documentation and use case design

Your profile

• Enrolled in aMaster’s program(e.g., Data Science, Computer Science, Business Analytics, Information Systems)
• StrongSQL skills(data extraction, joins, aggregations)
• Good knowledge ofPython(data analysis with pandas)
• Hands-on experience withBigQuery(or similar data warehouse)
• Basic understanding of:- Recommendation systems / personalization concepts
• Customer data and behavioral analytics

• Recommendation systems / personalization concepts
• Customer data and behavioral analytics
• Strong analytical thinking and interest indata-driven decision making
• Fluent inEnglish(German is a plus)
• Exposure toAI/ML concepts- Classification, ranking, or recommendation basics

• Classification, ranking, or recommendation basics
• Familiarity with:- A/B testing or experimentation frameworks
• Tools likedbt, Airflow, or analytics platforms

• A/B testing or experimentation frameworks
• Tools likedbt, Airflow, or analytics platforms
• Understanding of:- Customer journey / marketing funnels
• Event-based data (e.g., tracking, clickstream)

• Customer journey / marketing funnels
• Event-based data (e.g., tracking, clickstream)
• Exposure toretail / e-commerce / marketplaceuse cases
• Curiosity aboutcustomer behavior and personalization
• Ability to connectdata with business impact
• Structured and hypothesis-driven thinking
• Proactive attitude and willingness to learn
• Good collaboration and communication skills

What's in it for you?

• International teams & versatile tasks
• 30 days vacation & subsidized company pension plan
• Employees discount & Fitness Collaborations
• Training & Education
• Open corporate culture & Teamwork
• Mobile work

About us

We are looking for a Working Student (m/f/d) in our Product team to drive our strategic data projects forward with your (m/f/d) innovative approach and fresh ideas. Our interdisciplinary team is characterized by agility, openness and respect. Have the opportunity to contribute new impulses, actively shape processes and shape the retail media world of MediaMarktSaturn in a forward-looking way with us.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.Your HR contactLaura SchröderLet's Go!Ready? We are looking forward to receiving your application!Apply now