Data Scientist / Data Engineer im Bereich der Energieerzeugung
Core
Develop and operate data pipelines, automate processes, and build AI-driven workflows for energy generation and forecasting.
Role type
Senior Data Scientist / Data Engineer (Energy)
Builds
Data pipelines, ML models for forecasting and predictive maintenance, cloud applications, and analytical reports.
Domain
Energy generation, Utilities, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (Pandas, Scikit-learn, PySpark), Data Modeling, Data Integration, Cloud Deployment (Azure, Databricks, Data Lake), Exploratory Data Analysis, Machine Learning (Forecasting, Predictive Maintenance), MLOps, Power BI, Data Governance
Preferred skills
CI/CD, Version Control (Git), Energy Technology domain knowledge
Technologies
Azure, Databricks, Data Lake, Power BI, Python, PySpark, Scikit-learn
Responsibilities
Develop and operate ETL/ELT data pipelines; Train and validate ML models; Perform exploratory data analysis to identify patterns and anomalies; Implement MLOps principles; Visualize results and create reports for stakeholders; Translate technical requirements into data-driven solutions.
Seniority
Mid-Senior, hands-on IC
