Data Science Analyst - Agentic AI Developer

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.

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; Master's degree preferred.
• Three or more years of professional experience in data science, machine learning, AI application development, or advanced analytics.
• 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.

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.