Working Student Data Science Forecasting (m/f/d)

About This RoleAI processing…

Key Responsibilities

• 1
  Time Series & ML Engineering: Support the team in building, improving, and retraining machine learning forecasting models
• 2
  Production Operations: Actively assist in monitoring, updating, and troubleshooting forecasting models and pipelines operating in production environments
• 3
  Data Pipelines & Cleansing: Help build and maintain robust data transformation pipelines using SQLMesh and BigQuery to pre-process large streams of data
• 4
  Simulation & Validation: Use our internal simulation framework to backtest forecast models and analyze how forecast errors directly impact our high-level EMS optimization yield
• 5
  Agentic AI & Workflow Automation: Assist in writing, structuring, and testing behaviors for autonomous AI agents to help automate workflows
• 6
  Documentation & Team Sync: Help maintain clean, clear technical documentation in Notion and collaborate with Optimization and Data Engineers during sprint cycles

Requirements

• Current Studies: Enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, Mathematics, Physics, or an equivalent quantitative field
• Python Foundations: Solid coding skills in Python and familiarity with core data science libraries (pandas, numpy, scikit-learn)
• ML Domain Knowledge: Solid theoretical understanding of machine learning principles, statistical analysis, model architectures (e.g., regression, tree-based ensembles), and key evaluation metrics
• Analytical Mindset: Enthusiastic about troubleshooting data quality bugs and validating model outcomes using quantitative metrics
• Team & Agile Mindset: You have a team-oriented mindset, enjoy working in agile environments (such as sprints), and deeply value close, transparent collaboration with your teammates
• Domain Interest: A genuine interest in renewable energy, battery storage systems, smart grids, or electricity markets

Perks & Benefits