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Senior Machine Learning Data Scientist
ENGIE North America Inc.United States
Job DescriptionSenior Machine Learning Data ScientistPosting Start Date:5/19/26Requisition ID:65685Apply nowInformations generalesHOUSTON, United States, 77056ENGIE North America Inc.Skilled ( >3 expe
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Senior Machine Learning Data Scientist
- United States
- United States
Über
Senior Machine Learning Data Scientist
Posting Start Date:
5/19/26
Requisition ID:
65685
Apply now
Informations generales
HOUSTON, United States, 77056
ENGIE North America Inc.
Skilled ( >3 experience
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 ENGIE's 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 lifecycle-from feature engineering, training, tuning, and execution to validation, monitoring, and ongoing refinement-while maintaining strong software engineering standards that deliver dependable, production-grade forecasts. Because these forecasts are used to support commercial decisions across ENGIE's 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 You'll Bring You hold a Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Finance, or Economics, or a related field. In 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:
$102,000 - $156,400 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. 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 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. Business Unit:
Supply & Energy Management
Division:
BP B2B US
Legal Entity:
ENGIE North America Inc.
Professional Experience:
Skilled ( >3 experience
L'inclusion et la diversite sont au cur de notre politique de ressources humaines. Nous assurons l'egalite des chances entre tous les candidats et sommes engages a creer l'environnement de travail le plus accessible possible. Information at a Glance
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Le groupe ENGIE
A propos d'ENGIE
Sprachkenntnisse
- English
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