Data Science Analyst - Agentic AI Developer

NRG • Houston, NJ

3d • $65,000 - $75,000 • Onsite

About The Position

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. The role combines data science, machine learning, software engineering, and agentic AI development to solve complex business challenges in the energy industry. The successful candidate will work across the AI lifecycle, from data acquisition and model development through deployment, monitoring, and continuous improvement, in a collaborative, fast-paced environment.

This is a fully in-office position based in Houston, TX, or Princeton, NJ. Flexibility to work outside normal business hours may be needed to support critical business operations and project milestones.

Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Quantitative Finance, or a related quantitative discipline, completed or expected by December 2026.
• Zero or more years of professional experience in data science, machine learning, AI application development, or advanced analytics.
• Strong proficiency in Python and SQL, including experience processing large datasets and developing production-quality software.
• Excellent analytical, communication, and problem-solving skills.
• 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.

Nice To Haves

• Master’s degree.
• Experience with LangGraph, LangChain, Semantic Kernel, CrewAI, or similar orchestration frameworks.
• Experience with NLP, Generative AI, Computer Vision, Spark, Databricks, MLflow, Kubernetes, time-series forecasting, energy markets, or cloud-native AI services such as Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• 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 such as Git and Docker.
• Experience with AWS, Azure, or Google Cloud; data visualization tools such as Power BI, Tableau, Plotly, or Matplotlib; and building scalable data pipelines.
• Strong understanding of statistics, feature engineering, model evaluation, and MLOps fundamentals.

Responsibilities

• Collect, clean, integrate, and preprocess large structured and unstructured datasets for 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, Retrieval-Augmented Generation, AI agents, APIs, and workflow automation.
• 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 and communicate actionable insights through dashboards, reports, and data visualizations to technical and non-technical audiences.
• Monitor, evaluate, and continuously improve AI models and applications for accuracy, scalability, reliability, governance, and responsible AI practices.
• Stay current with emerging AI, machine learning, and data science technologies and evaluate opportunities to drive innovation and business value.

Benefits

• Potential eligibility to participate in a benefits program that includes medical, vision, dental, 401K, and flexible spending accounts.
• Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level