Senior Power Data Scientist - Forecasting & Trading

ENGIE; United States; Hybrid; USD 135,000 - 207,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

ESPP

Paid time off

401(k) retirement plan

Wellness days

Job summary

ENGIE ENERGY MARKETING NA, INC. is seeking a Senior Data Scientist to advance its forecasting platform for short-term power price predictions. You will partner with battery trading and optimization teams to improve accuracy and profitability while supporting operational decisions across multiple U.S.

markets. You will develop production-grade Python code, work with big datasets, and contribute to ML infrastructure in cloud environments.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, Statistics, or another quantitative STEM discipline.
• Minimum 5 years of experience working as a Data Scientist, Machine Learning Engineer, Quantitative Analyst, or similar role.
• Minimum 10 years of relevant work experience
• Advanced proficiency in Python and experience developing production-quality code.
• Strong knowledge of machine learning, statistical analysis, uncertainty quantification, and predictive modeling.
• Strong understanding of linear algebra, probability, and experimentation methodologies.
• Experience working with large datasets and building scalable analytical workflows.
• Ability to communicate technical concepts, experimental results, and recommendations clearly to technical and business stakeholders.
• Demonstrated critical thinking, problem-solving, and analytical capabilities.
• Strong attention to detail and commitment to delivering high-quality solutions.
• Team-oriented mindset with a collaborative approach to problem solving.
• This role is eligible for our hybrid work policy; a minimum of 3 days working in the office per week is required
• Must be available to travel domestically or internationally up to 10% of the time
• Must be willing and able to comply with all ENGIE ethics and safety policies;

Responsibilities

• Analyze, develop, test, and improve forecasting models used to predict electricity prices and support trading decisions
• Own and enhance short-term forecasting workflows that generate updated forecasts throughout the day
• Partner closely with trading and optimization teams to evaluate forecast performance and determine the impact of forecast quality on trading profitability
• Expand forecasting capabilities across multiple U.S. power markets, including ERCOT, PJM, SPP, and other emerging opportunities
• Design and execute experiments to identify sources of forecast error and improve probabilistic forecasting performance
• Leverage statistics, machine learning, AI, and physical system models to build robust forecasting solutions
• Develop production-level Python code that supports large-scale model training, backtesting, and deployment in cloud-based environments
• Contribute to internal machine learning infrastructure, forecasting pipelines, and AI-enabled development tools
• Collaborate with a multidisciplinary team of experts in power systems, weather analytics, artificial intelligence, and market modeling

Skills

Python

Production code

Machine learning

Statistics

Uncertainty quantification

Forecasting

Power markets

Communication

Data analysis

Team collaboration

Education

Bachelor's degree in STEM

Tools

Cloud platforms

Pandas

NumPy

Job description

ENGIE ENERGY MARKETING NA, INC. is seeking a Senior Data Scientist to advance its forecasting platform for short-term power price predictions. You will partner with battery trading and optimization teams to improve accuracy and profitability while supporting operational decisions across multiple U.S.

markets. You will develop production-grade Python code, work with big datasets, and contribute to ML infrastructure in cloud environments.