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Working Student Data Science Forecasting(m/w/x)
Developing time-series forecasting models for PV generation and EV charging. Solid Python, pandas, and scikit-learn skills required. Remote work, entry into a thriving scaleup.
Requirements
- Enrolled in Bachelor’s/Master’s in Data Science, Computer Science, Statistics, Mathematics, Physics, or equivalent quantitative field
- Solid Python coding skills and familiarity with pandas, numpy, scikit-learn
- Solid theoretical understanding of machine learning principles, statistical analysis, model architectures, and evaluation metrics
- Enthusiasm for troubleshooting data quality bugs and validating model outcomes
- Team-oriented mindset and enjoyment of agile environments and collaboration
- Genuine interest in renewable energy, battery storage, smart grids, or electricity markets
- First touchpoints with cloud-based infrastructure (GCP, AWS, Azure), containerized workflows, and data warehouse solutions
- Understanding of relational databases and confidence writing SQL queries
- Hands-on experience using generative AI tools, prompt engineering, or configuring AI coding assistants
- Initial experience with data pipeline tools like SQLMesh or dbt
- Basic understanding of visualization tools like Grafana or Looker
Tasks
- Support development of time-series forecasting models
- Train and test PV generation, household load, heat pump consumption, and EV charging models
- Build and improve machine learning forecasting models
- Retrain forecasting models as needed
- Monitor and update production forecasting models and pipelines
- Troubleshoot issues in production environments
- Build robust data transformation pipelines using SQLMesh and BigQuery
- Pre-process large streams of data
- Backtest forecast models using internal simulation framework
- Analyze forecast errors' impact on EMS optimization yield
- Write and structure behaviors for autonomous AI agents
- Test AI agent workflows
- Maintain clear technical documentation in Notion
- Collaborate with Optimization and Data Engineers during sprint cycles
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- numpy
- scikit-learn
- GCP
- AWS
- Azure
- SQL
- SQLMesh
- dbt
- Grafana
- Looker
Benefits
Informal Culture
- Direct contact with decision-makers
Startup Environment
- Entry into thriving scaleup
Flexible Working
- Remote work (Germany-wide)
Healthcare & Fitness
- EGYM Wellpass
Corporate Discounts
- Futurebens benefits and discounts
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Working Student Data Science Forecasting(m/w/x)
Developing time-series forecasting models for PV generation and EV charging. Solid Python, pandas, and scikit-learn skills required. Remote work, entry into a thriving scaleup.
Requirements
- Enrolled in Bachelor’s/Master’s in Data Science, Computer Science, Statistics, Mathematics, Physics, or equivalent quantitative field
- Solid Python coding skills and familiarity with pandas, numpy, scikit-learn
- Solid theoretical understanding of machine learning principles, statistical analysis, model architectures, and evaluation metrics
- Enthusiasm for troubleshooting data quality bugs and validating model outcomes
- Team-oriented mindset and enjoyment of agile environments and collaboration
- Genuine interest in renewable energy, battery storage, smart grids, or electricity markets
- First touchpoints with cloud-based infrastructure (GCP, AWS, Azure), containerized workflows, and data warehouse solutions
- Understanding of relational databases and confidence writing SQL queries
- Hands-on experience using generative AI tools, prompt engineering, or configuring AI coding assistants
- Initial experience with data pipeline tools like SQLMesh or dbt
- Basic understanding of visualization tools like Grafana or Looker
Tasks
- Support development of time-series forecasting models
- Train and test PV generation, household load, heat pump consumption, and EV charging models
- Build and improve machine learning forecasting models
- Retrain forecasting models as needed
- Monitor and update production forecasting models and pipelines
- Troubleshoot issues in production environments
- Build robust data transformation pipelines using SQLMesh and BigQuery
- Pre-process large streams of data
- Backtest forecast models using internal simulation framework
- Analyze forecast errors' impact on EMS optimization yield
- Write and structure behaviors for autonomous AI agents
- Test AI agent workflows
- Maintain clear technical documentation in Notion
- Collaborate with Optimization and Data Engineers during sprint cycles
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- numpy
- scikit-learn
- GCP
- AWS
- Azure
- SQL
- SQLMesh
- dbt
- Grafana
- Looker
Benefits
Informal Culture
- Direct contact with decision-makers
Startup Environment
- Entry into thriving scaleup
Flexible Working
- Remote work (Germany-wide)
Healthcare & Fitness
- EGYM Wellpass
Corporate Discounts
- Futurebens benefits and discounts
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
1KOMMA5°
Industry
EnergyAutomation
Description
Das Unternehmen ist ein marktführendes CleanTech Unicorn, das CO2-neutrale Energiesysteme installiert und über die KI-basierte Softwareplattform Heartbeat AI den Zugang zum Strommarkt der Zukunft ermöglicht.
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