Working Student Recommendation Engine (Product Personalization) (mfd)
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Job Location:
Ingolstadt - Germany
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
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)
- Monitoring and improvement of:
- Recommendation performance (CTR conversion engagement)
- Contribution to documentation and use case design
Your Profile
- Enrolled in a Masters program(e.g. Data Science Computer Science Business Analytics Information Systems)
- Strong SQL skills(data extraction joins aggregations)
- Good knowledge of Python(data analysis with pandas)
- Hands-on experience with BigQuery(or similar data warehouse)
- Basic understanding of:
- Recommendation systems / personalization concepts
- Customer data and behavioral analytics
- Strong analytical thinking and interest in data-driven decision making
- Fluent in English(German is a plus)
- Exposure to AI/ML concepts
- Classification ranking or recommendation basics
- Familiarity with:
- 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)
- Exposure to retail / e-commerce / marketplaceuse cases
- Curiosity about customer behavior and personalization
- Ability to connect data with business impact
- Structured and hypothesis-driven thinking
- Proactive attitude and willingness to learn
- Good collaboration and communication skills
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.
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 Tech Employee
Recruiter:Laura Schröder
Recruiter:Laura Schröder
