Working Student Data Science Forecasting

Beschreibung

Job Zusammenfassung In diesem Job unterstützt du die Entwicklung und Optimierung von Zeitreihen-Vorhersagemodellen für dezentrale Energiemanagementsysteme und bearbeitest Datentransformations-Pipelines sowie Monitoring- und Testprozesse. Job Zusammenfassung In diesem Job unterstützt du die Entwicklung und Optimierung von Zeitreihen-Vorhersagemodellen für dezentrale Energiemanagementsysteme und bearbeitest Datentransformations-Pipelines sowie Monitoring- und Testprozesse. Deine Rolle im Team As a Werkstudent or Intern in Data Science Forecasting, you will join our Team to help shape the future of decentralized Energy Management Systems (EMS). Your core mission will be supporting the development, training, and testing of our time-series forecasting models (PV generation, household load, heat pump consumption, and EV charging). This role offers a unique learning ground: you will get hands-on experience working on data and ML pipelines and projects running in live production. You will join us during a period of rapid innovation, gaining the opportunity to actively contribute to our agentic AI workflows aimed at accelerating engineering productivity. Key Responsibilities include supporting the team in building, improving, and retraining machine learning forecasting models, actively assisting in monitoring, updating, and troubleshooting forecasting models and pipelines operating in production environments, helping build and maintain robust data transformation pipelines using SQLMesh and BigQuery to pre-process large streams of data, using our internal simulation framework to backtest forecast models and analyze how forecast errors directly impact our high-level EMS optimization yield, assisting in writing, structuring, and testing behaviors for autonomous AI agents to help automate workflows, and helping maintain clean, clear technical documentation in Notion and collaborating with Optimization and Data Engineers during sprint cycles. Unsere Erwartungen an dich Qualifikationen Current Studies: Enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Mathematics, Physics, or an equivalent quantitative field. Solid coding skills in Python and familiarity with core data science libraries (pandas, numpy, scikit-learn). Solid theoretical understanding of machine learning principles, statistical analysis, model architectures (e.g., regression, tree-based ensembles), and key evaluation metrics. Enthusiastic about troubleshooting data quality bugs and validating model outcomes using quantitative metrics. You have a team-oriented mindset, enjoy working in agile environments (such as sprints), and deeply value close, transparent collaboration with your teammates. A genuine interest in renewable energy, battery storage systems, smart grids, or electricity markets. Unser Angebot You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen. With your work, you accelerate the 'energy transition' and hence have a direct impact on our climate. Work with and learn from other super-smart colleagues. You will enjoy direct contact with core decision-makers. You will enjoy the best chances of entering in one of Europe's most thriving scaleups. You work remotely (Germany-wide), with offices in Hamburg, Berlin or Munich. Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass. Benefits and discounts are yours with Futurebens. Benefits Work-Life-Integration 🏠 Home Office Gesundheit, Fitness & Fun 🚲 Jobrad Themen mit denen du dich im Job beschäftigst Machine Learning CleanTech E-Mobilität Cloud Computing AI Metadaten Level: Junior Job Feld: Data, Application Anstellung: Teilzeit Vertragsart: Praktikum / Schulpraktikum Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Startup Branche: Energiewirtschaft, Umwelt Ort: Hamburg | Deutschland

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