Data Scientist

The posting, as Hanwha Energy USA wrote it

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
• Responsible for coordinating the entire ML life cycle including pre-model analytics, model selection, feature engineerin

[…]
lders

• 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 — including model deployment, pipeline orchestration, experiment tracking, and model monitoring in production environments
• Proven track record in managing complex projects and leading cross-functional teams
• Excellent interpersonal skills with capability to work collaboratively with technical and non-technical teams
• Eligible to work in the USA for any employer without sponsorship

PREFERRED QUALIFICATIONS

• Experience with Graph Neural Networks (GNN) or graph-based modeling approaches — a significant differentiator for this role given the team's current AI initiative roadmap
• Direct experience in wholesale power or gas trading environments — understanding of how analytical outputs translate into commercial trading and hedging decisions
• Familiarity with ERCOT-specific datasets — nodal prices, shift factor matrices, constraint shadow prices, bid/offer disclosures, and generation outage feeds
• Experience with production cost modeling software such as DAYZER, PLEXOS, Aurora XMP, or PROMOD
• Familiarity with gas market fundamentals — pipeline flows, basis differentials, storage dynamics, and their interaction with power price formation
• Experience with MLOps tooling — MLflow, Airflow, Kubeflow, Azure ML, or AWS SageMaker — for production model lifecycle management

COMPENSATION: $140,000 - $180,000 salary

Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.

Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. Hanwha Energy USA