Dein persönlicher KI-Karriere-Agent
Working Student - Recommendation Engine (Product Personalization)(m/w/x)
Developing and optimizing recommendation use cases with BigQuery for retail media. Strong SQL and Python skills required. 30 days vacation, subsidized pension plan.
Anforderungen
- Master's program enrollment (Data Science, Computer Science, Business Analytics, Information Systems)
- Strong SQL skills (data extraction, joins, aggregations)
- Good Python knowledge (data analysis with pandas)
- BigQuery or similar data warehouse experience
- Basic understanding of recommendation systems/personalization concepts
- Basic understanding of customer data and behavioral analytics
- Strong analytical thinking
- Interest in data-driven decision making
- Exposure to AI/ML concepts
- Classification, ranking, or recommendation basics
- Familiarity with A/B testing or experimentation frameworks
- Familiarity with dbt, Airflow, or analytics platforms
- Understanding of customer journey/marketing funnels
- Understanding of event-based data (tracking, clickstream)
- Exposure to retail/e-commerce/marketplace use 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
Aufgaben
- Support development and optimization of recommendation use cases
- Analyze customer behavior and interaction data
- Assist in defining and testing recommendation strategies
- Extract and prepare data for use cases using BigQuery
- Support A/B testing and performance analysis
- Collaborate with Data Engineers on data availability and pipelines
- Collaborate with Data Scientists on models and algorithms
- Collaborate with Product Managers on use case definition
- Monitor and improve recommendation performance
- Contribute to documentation and use case design
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- SQL
- Python
- pandas
- BigQuery
- dbt
- Airflow
Benefits
Mehr Urlaubstage
- 30 days vacation
Betriebliche Altersvorsorge
- Subsidized company pension plan
Mitarbeiterrabatte
- Employee discount
Gesundheits- & Fitnessangebote
- Fitness collaborations
Weiterbildungsangebote
- Training and education
Lockere Unternehmenskultur
- Open corporate culture
- Teamwork
Flexibles Arbeiten
- Mobile work
- Home
- Jobs in Deutschland
- Ingolstadt
- Working Student - Recommendation Engine (Product Personalization)Working Student - Recommendation Engine (Product Personal...
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- Home
- Jobs in Deutschland
- Ingolstadt
- Working Student - Recommendation Engine (Product Personalization)Working Student - Recommendation Engine (Product Personal...
Working Student - Recommendation Engine (Product Personalization)(m/w/x)
Developing and optimizing recommendation use cases with BigQuery for retail media. Strong SQL and Python skills required. 30 days vacation, subsidized pension plan.
Anforderungen
- Master's program enrollment (Data Science, Computer Science, Business Analytics, Information Systems)
- Strong SQL skills (data extraction, joins, aggregations)
- Good Python knowledge (data analysis with pandas)
- BigQuery or similar data warehouse experience
- Basic understanding of recommendation systems/personalization concepts
- Basic understanding of customer data and behavioral analytics
- Strong analytical thinking
- Interest in data-driven decision making
- Exposure to AI/ML concepts
- Classification, ranking, or recommendation basics
- Familiarity with A/B testing or experimentation frameworks
- Familiarity with dbt, Airflow, or analytics platforms
- Understanding of customer journey/marketing funnels
- Understanding of event-based data (tracking, clickstream)
- Exposure to retail/e-commerce/marketplace use 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
Aufgaben
- Support development and optimization of recommendation use cases
- Analyze customer behavior and interaction data
- Assist in defining and testing recommendation strategies
- Extract and prepare data for use cases using BigQuery
- Support A/B testing and performance analysis
- Collaborate with Data Engineers on data availability and pipelines
- Collaborate with Data Scientists on models and algorithms
- Collaborate with Product Managers on use case definition
- Monitor and improve recommendation performance
- Contribute to documentation and use case design
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- SQL
- Python
- pandas
- BigQuery
- dbt
- Airflow
Benefits
Mehr Urlaubstage
- 30 days vacation
Betriebliche Altersvorsorge
- Subsidized company pension plan
Mitarbeiterrabatte
- Employee discount
Gesundheits- & Fitnessangebote
- Fitness collaborations
Weiterbildungsangebote
- Training and education
Lockere Unternehmenskultur
- Open corporate culture
- Teamwork
Flexibles Arbeiten
- Mobile work
Über das Unternehmen
MediaMarktSaturn Retail Group
Branche
Retail
Beschreibung
MediaMarkt ist der ungeschlagene Marktführer im Consumer Electronics Markt in Österreich mit über 50 Standorten und einem Onlineshop.
Noch nicht perfekt?
- MediaMarktSaturn Retail Group
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Werkstudent im Bereich Manufacturing Engineering - Automatisierung/AI(m/w/x)
Teilzeit/MinijobWerkstudentmit HomeofficeManching - MediaMarktSaturn Retail Group
Werkstudent Customs & Order Management Eigenmarken(m/w/x)
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Werkstudent:in – Fullstack Softwareentwicklung(m/w/x)
TeilzeitWerkstudentmit HomeofficeBremen, Bad Vilbel, Berlin, Ingolstadt, Kaiserslautern, Karlsruhe, Köln, Augsburg, München, Paderborn