Data Scientist

Hanwha Energy USA; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Hanwha Energy USA, based in Houston, TX, seeks a Data Scientist to own the full ML pipeline for wholesale power and gas applications. You will develop and deploy forecasting, pricing, and congestion analyses, leveraging state-of-the-art models and large market datasets.

The ideal candidate has deep learning and time-series expertise, plus strong ERCOT and PJM market understanding, and can operate under pressure within a collaborative Commodities team. Houston office preferred.

Qualifications

• Strong practical knowledge of deep learning and time series modeling in energy contexts.
• 3+ years as Data Scientist or 7+ years as Senior Data Scientist in commercial energy applications.
• Solid understanding of ERCOT and PJM markets and emerging wholesale energy trends.

Responsibilities

• Coordinate ML life cycle across power and gas market applications from analytics to deployment.
• Develop production-grade forecasting and analytics models for wholesale power and gas markets (ERCOT/PJM).
• Build models capturing drivers of price formation: generation dispatch, congestion, fuel, weather, load, behavior.
• Coordinate model deployment and integration into downstream processes with monitoring.
• Develop a data visualization layer to present driver insights to business stakeholders.
• Collaborate with technology teams to extract actionable business intelligence.
• Communicate modeling details to stakeholders to drive impact and decisions.

Skills

Deep learning

Time series

GBM

LSTM

Transformer

Power market knowledge

Python

TensorFlow

Cloud deployment

Tools

Python

TensorFlow

Cloud deployment

Job description

COMPANY OVERVIEW

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.

POSITION OVERVIEW

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.

RESPONSIBILITIES

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

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.

• 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 technology team and leveraging vast amounts of proprietary and market data, develop ways to extract business intelligence and actionable insights that can have a meaningful impact on the company's bottom line
• Communicate technical details of the modeling to key stakeholders and partners to drive impact and facilitate decision making

REQUIRED COMPETENCIES

• Analytical - Proven problem-solving capability with strong analytical skills including statistical analysis.
• Stakeholder Engagement - Understands the importance of seeking out relationships and working with others toward a shared goal.
• Effective Communication - Strong verbal and written communication skills.
• Agility - Demonstrate willingness to modify position as needed to meet the needs of the business.

REQUIRED QUALIFICATIONS

Strong technical knowledge in deep learning and time series modeling - including GBM, LSTM, Transformer architectures, CNN, VAE, GAN and GNN - with demonstrated application in power or gas market contexts

Minimum 3 years (Data Scientist) or 7 years (Senior Data Scientist) of industry experience applying modeling techniques in successful commercial energy applications

Solid understanding of ERCOT and PJM ma