Senior Data Scientist

What You Can Expect

As a Senior Data Scientist – Global Market Analysis (GMA) at ENGIE Energy Marketing North America (EEMNA), you will play a key role in advancing our electricity market forecasting capabilities across timescales and regional markets. GMA supports ENGIE’s trading, risk, and strategy functions by modeling hundreds of millions of data points daily through hybrid AI and physical system modeling. Your work will directly influence trading decisions and operational strategies in dynamic power markets such as PJM, SPP, and CAISO.

 

This is a high-impact, fast-paced role requiring both technical depth and creative problem-solving. You’ll collaborate closely with the Head of Market Analysis, traders, and fellow data scientists to enhance the performance, robustness, and scalability of our forecasting platform. The ideal candidate brings strong analytical skills, a deep understanding of physical systems and machine learning, and a team-oriented mindset.

 

Reporting to the Head of Market Analysis, your roles and responsibilities include:

 

• Analyze, experiment, develop models, and evaluate models to help the company gather business intelligence and predict electricity prices
• Work directly with the trading teams and Head of Market Analysis to create evaluation methodologies and assess quality of forecasts in terms of delivering clear signal for trading activities
• Collaborate with the team to expand forecasting capabilities across various timescales and U.S. markets including PJM, SPP, and CAISO
• Leverage data analysis to help identify areas for improvement of probabilistic price forecasts and develop experiments to help resolve and improve modeling efforts
• Work with the development team to develop production level code to backtest and run models at scale in the cloud
• Combine physical models with statistics and AI in creative ways to create models which are compute efficient while robust to extreme events and changes in the underlying system being modeled
• Work with and contribute to internal custom machine learning pipeline and physical model development using Python packages and in-house libraries

 

 

What You’ll Bring

• Minimum of a Bachelor’s degree in a Science, Engineering, or Mathematics field
  
• A minimum of ten (10) years working as a Data Scientist or a similar position
• Proficiency with linear algebra and machine learning
• Proficiency with correlated uncertainty quantification and statistical analysis
• Proficiency with probabilistic thinking and evaluation
• Proficiency in a programming language such as Python (or similar) and SQL (or similar)
• Ability to combine theory and data to develop experiment driven methodologies
• Ability to articulate experimentation methods, results, and conclusions clearly

 

Additional Details

• This role is eligible for our hybrid work policy in our Houston, TX; Chicago, IL; and Broomfield, CO offices. For highly qualified candidates based in Pittsburgh, PA, a fully remote arrangement may be considered, provided the individual can travel to the Houston office for at least one week each month.
• Must be available to travel domestically up to 15% of the time and with the need for some overnight trips
• Must be willing and able to comply with all ENGIE ethics and safety policies

 

Compensation

Salary Range: $131,000 – $200,790 USD annually

 

This represents the average expected pay range for a qualified candidate.

 

ENGIE complies with all federal, state, and local minimum wage laws. Actual salary offered may vary depending on geography, experience, education, internal pay alignment, or other bona fide factors. 

 

In addition to base pay, this position is eligible for a competitive bonus / incentive plan.

 

Your Talent Acquisition Partner can share more specific information regarding the benefits or the salary for the position based on the work location.

 

At ENGIE, we take your well-being seriously. Our comprehensive benefits package includes options for medical, dental, vision, life insurance, employer-paid short-term and long-term disability insurance, ESPP, generous paid time off including wellness days, holidays and leave programs