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# Gas, Power Data Science Sr Adv_TRGD1K

- **Company:** ENGIE
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $135,000.0 - $206,885.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Programming Tools, Python (Programming Language), Machine Learning, Uncertainty Quantification (UQ), Information Technology, Production Code
- **Published:** October 4, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18531431?backUrl=%2Fcareer%2F18531431%2FGas-Power-Data-Science-Sr-Adv_trgd1k-Texas-Houston

## About the Role

* Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, Statistics, or another quantitative STEM discipline.
 * Minimum 5 years of experience working 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.
 * Strong knowledge of machine learning, statistical analysis, uncertainty quantification, and predictive modeling.
 * Strong understanding of linear algebra, probability, and experimentation methodologies.
 * Experience working with large datasets and building scalable analytical workflows.
 * Ability to communicate technical concepts, experimental results, and recommendations clearly to technical and business stakeholders.
 * Demonstrated critical thinking, problem-solving, and analytical capabilities.
 * Strong attention to detail and commitment to delivering high-quality solutions.
 * Team-oriented mindset with a collaborative approach to problem solving.

Additional Details

 * This role is eligible for our hybrid work policy; a minimum of 3 days working in the office per week is required
 * Must be available to travel domestically or internationally up to 10% of the time
 * Must be willing and able to comply with all ENGIE ethics and safety policies

## Description

As a Senior Data Scientist, you will play a critical role in advancing ENGIE's forecasting platform across multiple markets and time horizons. This position will focus on short-term power price forecasting and will work closely with battery trading and optimization teams to improve forecast accuracy, drive profitability, and support operational decision-making. The role requires strong analytical thinking, intellectual curiosity, and the ability to bridge physical system understanding with advanced computational modeling

 * 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