Senior Data Scientist
Core
Building and deploying short-term operational forecasting models for energy volumes and prices to drive daily trading decisions.
Role type
Senior IC data scientist (time-series forecasting)
Builds
Production ML models for energy trading
Domain
Renewable energy, power systems, financial markets
Deliverable
production ML models
Required skills
time-series forecasting, Python, SQL, feature engineering, model lifecycle management, statistical modeling
Preferred skills
energy markets knowledge, trading experience, power systems understanding
Technologies
Python, Git, CI/CD
Responsibilities
Build and maintain short-term operational forecasting models for energy volumes and prices; Build time series models to identify recurring patterns and distill signals; Prototype and iterate on models to validate and scale; Own the full model lifecycle from EDA to deployment; Partner with data engineers to integrate new data sources; Collaborate and mentor across data science and engineering teams
Seniority
Senior, hands-on IC
