Data Science Analyst - Agentic AI Developer

Job summary

As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You’ll find that our dynamic work environment provides variety and challenge.

Qualifications

• 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
• NRG*** 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/Vet/Disability.
• Level, Title and/or Salary may be adjusted based on the applicant's experience or
• is not permitted and may impact your candidacy.

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

Skills

Degrees

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