Data Scientist

The role

The Data Scientist will oversee the entire data science pipeline for wholesale power and gas market applications. This includes R&D, model development, deployment, and management of the ML model library to impact decision making and optimize operations.

What you will do

• Develop innovative solutions for wholesale power and gas analytical needs using machine learning.
• Coordinate the entire ML life cycle including pre-model analytics, selection, and refinement.
• Develop, maintain, and improve production-grade forecasting and analytics models for ERCOT and PJM.
• Build and interpret models capturing drivers of power and gas price formation.
• Coordinate model deployment and integration into downstream business processes.
• Develop a data visualization layer for business stakeholders.
• Extract business intelligence and actionable insights from proprietary and market data.
• Communicate technical modeling details to key stakeholders and partners.

Required qualifications

• Strong technical knowledge in deep learning and time series modeling including GBM, LSTM, Transformer architectures, CNN, VAE, GAN and GNN.
• Minimum 3 years (Data Scientist) or 7 years (Senior Data Scientist) of industry experience applying modeling techniques in commercial energy applications.
• Solid understanding of ERCOT and PJM market fundamentals.
• Understanding of transmission congestion in ERCOT and PJM.
• Experience with Large Language Models (LLMs).
• An advanced degree in Engineering, Math, Physics, or a related field of study.
• Strong problem-solving skills.
• Strong knowledge in programming (Python, SQL), visualization tools (Plotly, PowerBI), ML packages (PyTorch, TensorFlow) and hyperparameter tuning (Optuna).
• Experience with cloud platforms (Azure or AWS) and MLOps practices.
• Proven track record in managing complex projects and leading cross-functional teams.
• Excellent interpersonal skills.
• Eligible to work in the USA for any employer without sponsorship.

Nice to have

• Experience with Graph Neural Networks (GNN) or graph-based modeling approaches
• Direct experience in wholesale power or gas trading environments
• Familiarity with ERCOT-specific datasets
• Experience with production cost modeling software such as DAYZER, PLEXOS, Aurora XMP, or PROMOD
• Familiarity with gas market fundamentals
• Experience with MLOps tooling — MLflow, Airflow, Kubeflow, Azure ML, or AWS SageMaker

About the company

Hanwha Energy USA is a comprehensive energy solutions provider headquartered in Houston, Texas. It is part of the Hanwha Group and manages a portfolio spanning utility-scale renewables, natural gas generation, and retail electricity.