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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.
Requirements
- 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
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- SQL
- Python
- pandas
- BigQuery
- dbt
- Airflow
Benefits
More Vacation Days
- 30 days vacation
Retirement Plans
- Subsidized company pension plan
Corporate Discounts
- Employee discount
Healthcare & Fitness
- Fitness collaborations
Learning & Development
- Training and education
Informal Culture
- Open corporate culture
- Teamwork
Flexible Working
- Mobile work
- Home
- Jobs in Germany
- Working Student - Recommendation Engine (Product Personalization)Working Student - Recommendation Engine (Product Personal...
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- Home
- Jobs in Germany
- 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.
Requirements
- 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
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- SQL
- Python
- pandas
- BigQuery
- dbt
- Airflow
Benefits
More Vacation Days
- 30 days vacation
Retirement Plans
- Subsidized company pension plan
Corporate Discounts
- Employee discount
Healthcare & Fitness
- Fitness collaborations
Learning & Development
- Training and education
Informal Culture
- Open corporate culture
- Teamwork
Flexible Working
- Mobile work
About the Company
MediaMarktSaturn Retail Group
Industry
Retail
Description
MediaMarkt ist der ungeschlagene Marktführer im Consumer Electronics Markt in Österreich mit über 50 Standorten und einem Onlineshop.
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