Energy Market Data Scientist: ML Forecasting & Trading

Hanwha Energy USA; Houston (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Hanwha Energy USA, based in Houston, seeks a Data Scientist to own the ML lifecycle for wholesale power and gas market applications. You will forecast prices, analyze congestion, and develop trading algorithms using state-of-the-art ML techniques.

Candidates should understand ERCOT and PJM markets and have a strong background in AI/ML modeling. You will work with Python, SQL, and visualization tools, bridging data science with business strategy to improve decision making and operations across

Qualifications

• Deep learning and time-series modeling applied to energy markets.
• Minimum 3 years (Data Scientist) or 7 years (Senior DS) in commercial energy contexts.
• Solid understanding of ERCOT and PJM market fundamentals.
• Experience with LLMs and retrieval-augmented generation for market intelligence.

Responsibilities

• Develop forecasting and analytics models for wholesale power and gas markets, focusing on ERCOT and PJM.
• Oversee ML lifecycle from feature engineering to deployment and monitoring.
• Build production-grade models and interpret drivers of price formation.
• Collaborate with teams to integrate models into business processes and dashboards.
• Communicate modeling approaches and results to stakeholders clearly.
• Lead cross-functional projects and ensure model health in cloud environments.
• Develop data visualization layers for business insights.

Skills

Deep learning

Time series modeling

Python

SQL

Plotly

PowerBI

PyTorch

TensorFlow

MLOps

Cloud platforms

Education

Ph.D in Engineering/Math/Physics

Tools

DAYZER

PLEXOS

Aurora XMP

PROMOD

Job description

Hanwha Energy USA, based in Houston, seeks a Data Scientist to own the ML lifecycle for wholesale power and gas market applications. You will forecast prices, analyze congestion, and develop trading algorithms using state-of-the-art ML techniques.

Candidates should understand ERCOT and PJM markets and have a strong background in AI/ML modeling. You will work with Python, SQL, and visualization tools, bridging data science with business strategy to improve decision making and operations across