Senior Machine Learning Data Scientist

Engie • Houston, TX

2d • Hybrid

About The Position

As our Portfolio and Load Forecasting Senior Analyst, you will support the development, delivery, and continuous improvement of forecasting processes and models for ENGIE’s U.S. power supply business. Working under the guidance of the Portfolio & Load Analytics Manager, you will collaborate closely with portfolio managers, risk, IT, and other stakeholders to ensure forecasting outputs are accurate, timely, and aligned with operational needs. In this role, you will leverage rigorous data collection, validation, and analysis to improve forecast performance and support portfolio management, hedging strategies, and risk management activities across U.S. power markets. This position is based in Houston, TX, and reports to the Supply Manager. You will be actively involved in the design, implementation, and continuous improvement of forecasting tools, models, and methodologies, while helping build a modern forecasting platform for the US power market. Your role will include validating forecast inputs and outputs, monitoring model performance from a data science standpoint, and ensuring model drift and forecast quality remain under control over time. You will also work cross-functionally within the broader forecasting community and with forecasting teams in other countries to promote knowledge sharing, consistency, and the cross-pollination of ideas and best practices. You will be responsible not only for the technical development of forecasting solutions, but also for ensuring their operational reliability and relevance to business needs. This includes building models across the full lifecycle—from feature engineering, training, tuning, and execution to validation, monitoring, and ongoing refinement—while maintaining strong software engineering standards that deliver dependable, production-grade forecasts. Because these forecasts are used to support commercial decisions across ENGIE’s US power business, reliability, traceability, and robustness are essential parts of the role. In addition to model development, you will provide scientific expertise for bespoke analyses and contribute to the continuous improvement of forecasting practices, performance measurement, and platform capabilities. A strong understanding of forecasting methodology, model governance, and production-quality software development is essential to succeed in this role, along with the ability to translate complex analytical outputs into practical business value for stakeholders across the organization.

Requirements

• Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Finance, or Economics, or a related field. In lieu of a degree, a combination of relevant experience that demonstrates strong quantitative rigor and practical business acumen will be considered.
• Technical expertise to build, analyze, and productionize forecasting models.
• Communication skills needed to align diverse stakeholders around a clear and informed point of view.
• A minimum of five (5) years of experience building and deploying forecasting models and data pipelines using Python and SQL, with ownership of production deliverables.
• Strong foundation in probability, statistics, data science, and machine learning, with practical experience in time series forecasting.
• Advanced proficiency in Python, SQL, Git, and modern data platforms such as Databricks and Spark, with the ability to build scalable data pipelines and automate workflows.
• Knowledgeable in developing and deploying forecasting models, including regression, time series, and machine learning techniques, with experience improving forecast accuracy and backcasting performance.
• Experience designing and maintaining end-to-end forecasting systems including data ingestion, feature engineering, model training, hyperparameter tuning, deployment, and performance monitoring.
• Knowledgeable in energy markets, load forecasting, or commodity trading, and understand how market dynamics and regulatory changes impact forecasting outputs.
• Effective communicator who can translate complex analytical insights into clear recommendations for both technical and non-technical stakeholders, including portfolio managers, traders, and risk teams.
• Strong analytical and problem-solving skills, with the ability to manage multiple priorities, work independently, and deliver accurate, high-quality results in a fast-paced environment.

Responsibilities

• Support the development, delivery, and continuous improvement of forecasting processes and models for ENGIE’s U.S. power supply business.
• Collaborate closely with portfolio managers, risk, IT, and other stakeholders to ensure forecasting outputs are accurate, timely, and aligned with operational needs.
• Leverage rigorous data collection, validation, and analysis to improve forecast performance and support portfolio management, hedging strategies, and risk management activities across U.S. power markets.
• Design, implement, and continuously improve forecasting tools, models, and methodologies.
• Build a modern forecasting platform for the US power market.
• Validate forecast inputs and outputs.
• Monitor model performance from a data science standpoint.
• Ensure model drift and forecast quality remain under control over time.
• Work cross-functionally within the broader forecasting community and with forecasting teams in other countries to promote knowledge sharing, consistency, and the cross-pollination of ideas and best practices.
• Build models across the full lifecycle—from feature engineering, training, tuning, and execution to validation, monitoring, and ongoing refinement.
• Maintain strong software engineering standards that deliver dependable, production-grade forecasts.
• Provide scientific expertise for bespoke analyses.
• Contribute to the continuous improvement of forecasting practices, performance measurement, and platform capabilities.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Employer-paid short-term and long-term disability insurance
• ESPP
• Generous paid time off including wellness days, holidays and leave programs
• 401(k) Retirement Savings Plan with a company match
• Supplemental benefits for full-time employees that enhance emotional and physical well-being through all stages of life from family forming to caregiver benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior