Senior Machine Learning Data Scientist

What You Can Expect

As our Senior Machine Learning Data Scientist you will support the development delivery and continuous improvement of forecasting processes and models for ENGIEs U.S. power supply business. Working under the guidance of the Portfolio & Load Analytics Manager you will collaborate closely with portfolio managers risk IT and other stakeholders to ensure forecasting outputs are accurate timely and aligned with operational needs.

In this role you will leverage rigorous data collection validation and analysis to improve forecast performance and support portfolio management hedging strategies and risk management activities across U.S. power markets.

This position is based in Houston TX and reports to the Portfolio & Load Analytics Manager.

• You will be actively involved in the design implementation and continuous improvement of forecasting tools models and methodologies while helping build a modern forecasting platform for the US power market. Your role will include validating forecast inputs and outputs monitoring model performance from a data science standpoint and ensuring model drift and forecast quality remain under control over time. You will also work cross-functionally within the broader forecasting community and with forecasting teams in other countries to promote knowledge sharing consistency and the cross-pollination of ideas and best practices
• You will be responsible not only for the technical development of forecasting solutions but also for ensuring their operational reliability and relevance to business needs. This includes building models across the full lifecyclefrom feature engineering training tuning and execution to validation monitoring and ongoing refinementwhile maintaining strong software engineering standards that deliver dependable production-grade forecasts. Because these forecasts are used to support commercial decisions across ENGIEs US power business reliability traceability and robustness are essential parts of the role.
• In addition to model development you will provide scientific expertise for bespoke analyses and contribute to the continuous improvement of forecasting practices performance measurement and platform capabilities. A strong understanding of forecasting methodology model governance and production-quality software development is essential to succeed in this role along with the ability to translate complex analytical outputs into practical business value for stakeholders across the organization.

What Youll Bring

• You hold a Bachelors degree in a quantitative discipline such as Statistics Mathematics Computer Science Engineering Finance or Economics or a related lieu of a degree we will consider a combination of relevant experience that demonstrates strong quantitative rigor and practical business acumen
• You have the technical expertise to build analyze and productionize forecasting models along with the communication skills needed to align diverse stakeholders around a clear and informed point of view
• A minimum of five (5) years of experience building and deploying forecasting models and data pipelines using Python and SQL with ownership of production deliverables
• You hold a strong foundation in probability statistics data science and machine learning with practical experience in time series forecasting
• You have advanced proficiency in Python SQL Git and modern data platforms such as Databricks and Spark with the ability to build scalable data pipelines and automate workflows.
• You are knowledgeable in developing and deploying forecasting models including regression time series and machine learning techniques with experience improving forecast accuracy and backcasting performance
• You have experience designing and maintaining end-to-end forecasting systems including data ingestion feature engineering model training hyperparameter tuning deployment and performance monitoring
• You are knowledgeable in energy markets load forecasting or commodity trading and understand how market dynamics and regulatory changes impact forecasting outputs
• You are an effective communicator who can translate complex analytical insights into clear recommendations for both technical and non-technical stakeholders including portfolio managers traders and risk teams
• You have strong analytical and problem-solving skills with the ability to manage multiple priorities work independently and deliver accurate high-quality results in a fast-paced environment

Additional Details

• This role is eligible for our hybrid work policy
• Must be willing and able to comply with all ENGIE ethics and safety policies

Compensation

Salary Range: $102000 $156400 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 thats not all were 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 isnt just participating in the Zero-Carbon Transition were leading it! Join us as we develop energy that is renewable efficient and accessible to everyone.

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 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 are unable to sponsor or take over sponsorship of an employment visa for this role at any time.

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.