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Working Student Data Science(m/w/x)
Optimizing ML pipelines for sales forecasting on a B2B commerce platform, building interactive result frontends. Python, SQL, ML libraries, and Git skills required; hyperparameter tuning knowledge advantageous. Greenfield project, cutting-edge business model.
Requirements
- Skills in Python, SQL, and machine learning libraries
- Skills in Git
- Knowledge in hyperparameter tuning (advantageous)
- Passion for business, data, and coding
- Proactive, motivated, and detail-oriented mindset
- Drive to learn and grow
Tasks
- Optimize machine learning pipelines for sales forecasting
- Focus on hyperparameter tuning and pipeline efficiency
- Develop and implement new machine learning solutions
- Set up interactive frontends to share results
- Analyze and model data from diverse sources
- Create actionable insights and predictions
- Collaborate with data engineering to integrate models
- Ensure quality through testing, validation, and documentation
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- XGBoost
- scikit-learn
- TensorFlow
- PyTorch
- Git
Benefits
Startup Environment
- Cutting-edge business model
- Greenfield project
- Agile environment
- Startup mentality
- Courage to innovate
Other Benefits
- Great product
Diverse Work
- Exciting tech stack
Informal Culture
- No bureaucracy
- Flat hierarchies
- International team
Modern Office
- Modern office
Flexible Working
- Flexible working hours
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Working Student Data Science(m/w/x)
Optimizing ML pipelines for sales forecasting on a B2B commerce platform, building interactive result frontends. Python, SQL, ML libraries, and Git skills required; hyperparameter tuning knowledge advantageous. Greenfield project, cutting-edge business model.
Requirements
- Skills in Python, SQL, and machine learning libraries
- Skills in Git
- Knowledge in hyperparameter tuning (advantageous)
- Passion for business, data, and coding
- Proactive, motivated, and detail-oriented mindset
- Drive to learn and grow
Tasks
- Optimize machine learning pipelines for sales forecasting
- Focus on hyperparameter tuning and pipeline efficiency
- Develop and implement new machine learning solutions
- Set up interactive frontends to share results
- Analyze and model data from diverse sources
- Create actionable insights and predictions
- Collaborate with data engineering to integrate models
- Ensure quality through testing, validation, and documentation
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- XGBoost
- scikit-learn
- TensorFlow
- PyTorch
- Git
Benefits
Startup Environment
- Cutting-edge business model
- Greenfield project
- Agile environment
- Startup mentality
- Courage to innovate
Other Benefits
- Great product
Diverse Work
- Exciting tech stack
Informal Culture
- No bureaucracy
- Flat hierarchies
- International team
Modern Office
- Modern office
Flexible Working
- Flexible working hours
About the Company
METRO Markets GmbH
Industry
Retail
Description
The company creates a platform for B2B commerce, enabling business owners worldwide to focus on their core activities.
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