Welcome to the intersection of energy and home services. At NRG, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier—helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.
We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.
More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.
This position will be involved in a diverse range of activities supporting NRG’s Commercial Analytics functions. This position will be imbedded in the Structure and Fundamentals team and will focus on enhanced data driven solutions in support of team’s activities. While our focus is for AI expertise, this role will support a much broader range of data science activities and provides meaningful exposure to and engagement in Commercial Analytics work product.

PREFERRED QUALIFICATIONS:

• Experience with Natural Language Processing (NLP) or Computer Vision.
• Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
• Exposure to deep learning techniques and neural networks.
• Understanding of MLOps principles and deployment of AI models in production environments.
  NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant’s experience or skills.
  EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/posterscreenreader_optimized.pdf)
  Official description on file with Talent

• Collect, clean, and preprocess large datasets to ensure high-quality data for quantitative analysis including AI applications.
• Develop and implement machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven insights.
• Implement solutions that improve efficiency of team activities.
• Analyze and interpret complex data structures to derive meaningful business insights.
• Collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to integrate AI solutions into group workflows.
• Optimize and fine-tune AI models to enhance accuracy, efficiency, and scalability.
• Stay up to date with the latest advancements in AI, machine learning, and data science technologies.
• Create data visualizations and dashboards to communicate findings to stakeholders effectively.
• Document methodologies, processes, and findings to maintain transparency and reproducibility.