Senior Power Data Scientist – Short-Term Forecasting

ENGIE Group; United States; Hybrid; USD 135,000 - 207,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) retirement plan with company 1:

Employee stock purchase plan

Generous paid time off

Job summary

ENGIE ENERGY MARKETING NA, INC. seeks a Senior Data Scientist to advance its forecasting platform for short-term power prices and support battery trading decisions. You will bridge physical system understanding with advanced modeling and work across multiple U.S. power markets in a hybrid setting.

The role emphasizes production-grade Python, probabilistic forecasting, and collaboration with trading, optimization, and analytics teams to improve profitability.

Qualifications

• Bachelor’s degree in a quantitative STEM field.
• 5+ years in Data Science, ML, or quantitative roles.
• Experience building production-ready Python code and scalable workflows.

Responsibilities

• Analyze, develop, test, and improve forecasting models for electricity prices.
• Own short-term forecasting workflows updated throughout the day.
• Collaborate with trading and optimization teams to assess forecast impact on profitability.
• Expand forecasting across multiple U.S. power markets (ERCOT, PJM, SPP).
• Design experiments to reduce forecast error and improve probabilistic forecasts.
• Use ML, AI, and physical models to build robust forecasting solutions.
• Develop production-quality Python code for large-scale training, backtesting, deployment in cloud environments.
• Contribute to ML infrastructure and forecasting pipelines.
• Collaborate with power systems, weather analytics, AI, and market modeling experts.

Skills

Python

Machine Learning

Statistical Analysis

Uncertainty Quantification

Data Visualization

Communication

Education

Bachelor's degree in Data Science/CS/Engineering

Tools

Cloud platforms (AWS)

Job description

ENGIE ENERGY MARKETING NA, INC. seeks a Senior Data Scientist to advance its forecasting platform for short-term power prices and support battery trading decisions. You will bridge physical system understanding with advanced modeling and work across multiple U.S. power markets in a hybrid setting.

The role emphasizes production-grade Python, probabilistic forecasting, and collaboration with trading, optimization, and analytics teams to improve profitability.