or apply directly on Hanwha Energy USA's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days Hanwha Energy USA's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 100% of Hanwha Energy USA's roles list one
- Ghost-job risk at Hanwha Energy USA
- high 15 stale, 2 reposted of 22 open
- Hiring momentum
- 30 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Hanwha Energy USA's own greenhouse board since 2026-08-03. Full hiring picture for Hanwha Energy USA.
About this role
The Data Scientist at Hanwha Energy USA will manage the data science pipeline for wholesale power and gas market applications, focusing on price forecasting, congestion analysis, and trading algorithms. Responsibilities include model development, deployment, and analytics, utilizing advanced AI/ML techniques to support business decisions and optimize operations. The role requires collaboration with technical teams and effective communication of complex concepts to stakeholders.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Hanwha Energy USA as an employer.
What you need
- 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 successful 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) in a commercial setting
- An advanced degree, preferably Ph.D, in Engineering, Math, Physics, or a related field of study
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
What you get
- $140,000 - $180,000 salary
Worth weighing
- No remote work mentioned, must be within commutable distance to Houston office
- High level of technical expertise required, may limit candidate pool
- Role involves significant collaboration with both technical and non-technical teams, which may require strong communication skills
Summarised from Hanwha Energy USA's posting. Read the full original.
Listed by Hanwha Energy USA on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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