Senior Power Data Scientist - Short-Term Price Forecasting

ENGIE Group; Houston (TX); Hybrid; USD 135,000 - 207,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

ESP P / Employee stock purchase plan

Generous paid time off

Job summary

ENGIE ENERGY MARKETING NA, INC. is seeking a Senior Data Scientist to advance forecasting platforms for short-term power prices and trading profitability. You will work with battery trading and optimization teams to improve forecast accuracy and support operational decisions, bridging physical system understanding with advanced modeling.

The role emphasizes production Python, large-scale model training, and cloud deployment within a multidisciplinary team across U.S. markets.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, Statistics, or another quantitative STEM discipline.
• Minimum 5 years of experience as a Data Scientist, Machine Learning Engineer, Quantitative Analyst, or similar role.
• Minimum 10 years of relevant work experience.
• Advanced proficiency in Python and experience developing production-quality code.

Responsibilities

• Analyze, develop, test, and improve forecasting models used to predict electricity prices and support trading decisions
• Own and enhance short-term forecasting workflows that generate updated forecasts throughout the day
• Partner closely with trading and optimization teams to evaluate forecast performance and determine the impact of forecast quality on trading profitability
• Expand forecasting capabilities across multiple U.S. power markets, including ERCOT, PJM, SPP, and other emerging opportunities
• Design and execute experiments to identify sources of forecast error and improve probabilistic forecasting performance
• Leverage statistics, machine learning, AI, and physical system models to build robust forecasting solutions
• Develop production-level Python code that supports large-scale model training, backtesting, and deployment in cloud-based environments
• Contribute to internal machine learning infrastructure, forecasting pipelines, and AI-enabled development tools
• Collaborate with a multidisciplinary team of experts in power systems, weather analytics, artificial intelligence, and market modeling

Skills

Python

Machine Learning

Statistics

Data Science

Communication

Education

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, Statistics, or another quantitative STEM discipline

Job description

ENGIE ENERGY MARKETING NA, INC. is seeking a Senior Data Scientist to advance forecasting platforms for short-term power prices and trading profitability. You will work with battery trading and optimization teams to improve forecast accuracy and support operational decisions, bridging physical system understanding with advanced modeling.

The role emphasizes production Python, large-scale model training, and cloud deployment within a multidisciplinary team across U.S. markets.