Data Scientist
Core
Develop and operate data pipelines (ETL/ELT), automate processes and AI-driven workflows, and build machine learning models for forecasting and predictive maintenance in the energy sector.
Role type
Data Scientist / Machine Learning Engineer
Builds
Production ML models, data pipelines, and cloud-based applications
Domain
Energy sector / Data Science / Machine Learning
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, MLOps principles, Model training and validation, Report visualization (Power BI), Translating business requirements into data solutions
Preferred skills
Azure environments (Databricks, Data Lake), MLOps, CI/CD, Version control (Git), Energy technology and generation domain knowledge
Technologies
Python, Pandas, Scikit-learn, PySpark, Azure, Databricks, Data Lake, Power BI, Git
Responsibilities
Develop and operate data pipelines (ETL/ELT), Automate processes and AI-driven workflows, Perform exploratory data analysis to identify patterns and trends, Develop, train, and validate machine learning models, Implement MLOps principles for deployment and monitoring, Visualize results and create reports for stakeholders, Translate business requirements into data-driven use cases, Participate in data governance and data quality initiatives
Seniority
Mid-level to Senior, hands-on IC
