What You Can Expect

Data is at the heart of ENGIE’s mission to provide sustainable energy clients with superior insights that enable strategic, actionable trading and dispatch decisions. Every day, the Global Market Analysis team forecasts hundreds of millions of electric grid data points using a combination of physical modeling, statistics, and artificial intelligence.

As a Senior Data Scientist, you will play a critical role in advancing ENGIE’s forecasting platform across multiple markets and time horizons. This position will focus on short-term power price forecasting and will work closely with battery trading and optimization teams to improve forecast accuracy, drive profitability, and support operational decision-making. The role requires strong analytical thinking, intellectual curiosity, and the ability to bridge physical system understanding with advanced computational modeling

• 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

What You’ll Bring

• 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.

Additional Details

• 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;

Compensation

Salary Range: $135,000 – $206,885 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. We also help you plan for retirement by offering a 401(k) Retirement Savings Plan with a company match.  But that's not all – we're dedicated to the health and happiness of your entire family, offering supplemental benefits for full time employees that enhance emotional and physical well-being through all stages of life from family forming to caregiver benefits. Explore our benefits package to see how we can support you. Learn more.

Why ENGIE?

ENGIE North America isn’t just participating in the Zero-Carbon Transition, we’re leading it!  Join us as we develop energy that is renewable, efficient, and accessible to everyone.  

At ENGIE, every talent has a role to play in the adventure of the century. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are.

Join us and be part of the adventure!

ENGIE is proud to be an equal opportunity workplace, and we are firmly committed to creating an inclusive workplace for all employees.  We are committed to providing employees with a work environment free of discrimination and harassment.  All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

If you need assistance with this application or a reasonable accommodation due to a disability, you may contact us at ENGIENA-ENGIEHR@engie.com. This email address is reserved for individuals with disabilities in need of assistance and is not a means of inquiry regarding positions or application status.

We value internal mobility and will offer sponsorship for this role to internal candidates only.

The safety of our employees is our number one priority. All employees at ENGIE have both a duty and the authority to STOP WORK if unsafe acts are observed.