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Data Science Analyst - Agentic AI Developer

Job in Houston, Harris County, Texas, 77246, USA
Listing for: NRG Energy
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 65000 - 75000 USD Yearly USD 65000.00 75000.00 YEAR
Job Description & How to Apply Below

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Data Science Analyst - Agentic AI Developer

Date:
Oct 19, 2026

Location:

Houston, TX, US, 77010 Princeton, NJ, US, 08540

Company: NRG

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  Connect with NRG on Facebook, Instagram, Linked In and X.

Job Summary:

NRG Energy is seeking a Data Science Analyst – Agentic AI Developer to design, develop, and deploy AI-powered solutions that improve decision-making, automate business processes, and generate actionable insights across the organization. This role combines data science, machine learning, software engineering, and agentic AI development to solve complex business challenges in the energy industry. The ideal candidate is comfortable working across the full AI lifecycle—from data acquisition and model development to deployment, monitoring, and continuous improvement—and thrives in a collaborative, fast-paced environment.

  • Collect, clean, integrate, and preprocess large structured and unstructured datasets to support advanced analytics, machine learning, and AI applications.
  • Design, develop, deploy, and optimize machine learning models for forecasting, predictive analytics, anomaly detection, recommendation systems, classification, and operational optimization.
  • Build AI-powered applications using large language models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, APIs, and workflow automation to improve productivity and streamline business processes.
  • Rapidly prototype, test, and deploy scalable AI solutions, translating ambiguous business challenges into practical, production-ready applications.
  • Develop scalable data pipelines, reusable software components, APIs, and AI workflows that integrate enterprise data sources and operational systems.
  • Collaborate with business stakeholders, software engineers, data engineers, analysts, and subject matter experts to integrate AI capabilities into business workflows.
  • Analyze complex datasets to identify trends, generate actionable insights, and communicate findings through dashboards, reports, and data visualizations for both technical and non-technical audiences.
  • Monitor, evaluate, and continuously improve AI models and applications to ensure accuracy, scalability, reliability, governance, and responsible AI practices.
  • Stay current with emerging AI, machine learning, and data science technologies, evaluating opportunities to drive innovation and business value.
Working Conditions:
  • Fully in-office position based in Houston, TX or Princeton, NJ, with flexibility to work outside normal business hours as needed to support critical business operations and project milestones.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Quantitative Finance, or a related quantitative discipline, completed or expected to be completed by December 2026;
    Master’s degree preferred.
  • Zero or more years of professional experience in data…
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