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Working student Quality(m/w/x)
Maintaining data validation scripts and validating LLM-based analyses for a global business data platform. Good Python and SQL knowledge, with Data Science or Engineering studies required. Work from abroad option, flexible hours.
Requirements
- Studies in Economics, Data Science, Data Engineering, or comparable field
- Fluent English communication skills
- Proficiency in MS Office and Excel
- Good knowledge of Python and SQL
- Attention to detail and data quality passion
- Curiosity about new tech and AI
- Problem-solving skills, ownership, and independence
Tasks
- Maintain and enhance data validation scripts
- Develop new quality measures with engineers
- Prepare inputs and validate LLM-based analyses
- Conduct various quality assurance rounds
- Generate summary statistics to monitor data flows
- Detect and document data anomalies and mismatches
- Present findings to the team and stakeholders
- Refactor Python scripts to improve code readability
- Add logging and handle edge cases in code
- Write and update internal documentation and READMEs
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- MS Office
- Excel
- Python
- pandas
- numpy
- SQL
- prompt engineering
- VS Code
- Git
- GitHub
- AWS
Benefits
Flexible Working
- Flexible working hours
- Hybrid work
- Flex-time
- Work from abroad
Informal Culture
- International team
Team Events
- Social events
Public Transport Subsidies
- Subsidized urban mobility
Healthcare & Fitness
- Fitness and wellness options
Other Benefits
- Free Perplexity Enterprise access
Learning & Development
- Career and training opportunities
Parking & Commuter Benefits
- Attractive locations
Modern Office
- Modern offices
Mental Health Support
- Mental health support
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Working student Quality(m/w/x)
Maintaining data validation scripts and validating LLM-based analyses for a global business data platform. Good Python and SQL knowledge, with Data Science or Engineering studies required. Work from abroad option, flexible hours.
Requirements
- Studies in Economics, Data Science, Data Engineering, or comparable field
- Fluent English communication skills
- Proficiency in MS Office and Excel
- Good knowledge of Python and SQL
- Attention to detail and data quality passion
- Curiosity about new tech and AI
- Problem-solving skills, ownership, and independence
Tasks
- Maintain and enhance data validation scripts
- Develop new quality measures with engineers
- Prepare inputs and validate LLM-based analyses
- Conduct various quality assurance rounds
- Generate summary statistics to monitor data flows
- Detect and document data anomalies and mismatches
- Present findings to the team and stakeholders
- Refactor Python scripts to improve code readability
- Add logging and handle edge cases in code
- Write and update internal documentation and READMEs
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- MS Office
- Excel
- Python
- pandas
- numpy
- SQL
- prompt engineering
- VS Code
- Git
- GitHub
- AWS
Benefits
Flexible Working
- Flexible working hours
- Hybrid work
- Flex-time
- Work from abroad
Informal Culture
- International team
Team Events
- Social events
Public Transport Subsidies
- Subsidized urban mobility
Healthcare & Fitness
- Fitness and wellness options
Other Benefits
- Free Perplexity Enterprise access
Learning & Development
- Career and training opportunities
Parking & Commuter Benefits
- Attractive locations
Modern Office
- Modern offices
Mental Health Support
- Mental health support
About the Company
Statista
Industry
Research
Description
The company is the world's leading business data platform, providing reliable data and analytics products to empower fact-based decisions.
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