Data Scientist Houston, TX

Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea’s most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data center industry.

Our expertise covers the entire energy value chain from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets.

Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of:

• Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS).
• Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets.

As an integral part of Hanwha Energy USA's Commodities team, the Data Scientist will oversee the entire data science pipeline for wholesale power and gas market applications including price forecasting, congestion analysis, load forecasting, and trading algorithms. This will encompass R&D, model development, pre- and post-model analytics, model deployment, and management of the ML model library. This role will leverage the latest AI/ML modeling techniques to directly impact the company's ability to make informed decisions, optimize operations, mitigate risks, and drive business growth.

The role requires a self‑motivated, dedicated, and responsible individual with the ability to perform well under pressure collaboratively with a team of highly analytical and quantitative talent. Along with deep expertise in AI/ML modeling, the candidate should possess a solid understanding of power and gas market fundamentals — with particular emphasis on ERCOT and PJM markets — and emerging trends in wholesale energy.

The position will be based out of the Hanwha Energy USA Houston office, and the ideal candidate will be within commutable distance to the Houston office location.

• As part of Hanwha Energy USA's Commodities team, this position will play a pivotal role in developing innovative solutions to wholesale power and gas analytical needs — including price forecasting, congestion analysis, and trading algorithms — by applying state‑of‑the‑art machine learning and predictive modeling techniques
• Responsible for coordinating the entire ML life cycle including pre-model analytics, model selection, feature engineering, post model evaluation, and model refinements across power and gas market applications
• Develop, maintain, and continuously improve production‑grade forecasting and analytics models for wholesale power and gas markets, with a focus on ERCOT and PJM
• Build and interpret models that capture the key drivers of power and gas price formation — including generation dispatch, transmission congestion, fuel prices, weather, load patterns, and market participant behavior
• Coordinate model deployment efforts including integration into downstream business processes, tracking performance metrics, and maintaining model health in cloud environments
• Develop a comprehensive data visualization layer to enable intuitive understanding of analytical drivers by business stakeholders
• Working closely with the…