Data Science Analyst - Agentic AI Developer

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.

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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.

Essential Duties/Responsibilities:

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.

Minimum Requirements:

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 science, machine learning, AI application development, or advanced analytics.

Preferred Qualifications:

Experience with LangGraph, LangChain, Semantic Kernel, CrewAI, or similar orchestration frameworks; NLP, Generative AI, Computer Vision, Spark, Databricks, MLflow, Kubernetes, time-series forecasting, energy markets, or cloud-native AI services (e.g., Azure OpenAI, Amazon Bedrock, Google Vertex AI) is highly desirable

Strong proficiency in Python and SQL, with experience processing large datasets and developing production-quality software.

Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar technologies.

Experience developing AI applications using LLMs, prompt engineering, RAG, AI agent frameworks, vector databases, REST APIs, and modern software development tools (Git, Docker).

Experience with cloud platforms (AWS, Azure, or Google Cloud), data visualization tools (Power BI, Tableau, Plotly, or Matplotlib), and building scalable data pipelines.

Strong understanding of statistics, feature engineering, model evaluation, and MLOps fundamentals.

Excellent analytical, communication, and problem-solving skills, with the ability to independently manage multiple priorities, collaborate across multidisciplinary teams, and deliver high-quality AI solutions with professionalism, integrity, and a commitment to continuous learning.

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

Official description on file with Talent.

We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.

The base salary range for this position is: $65,000 - $75,000* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.