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# Analyst, Data Science

- **Company:** Dell Technologies Inc.
- **Location:** Round Rock, TX, United States
- **Salary:** $86,700 - $112,200
- **Contract:** Internship / Graduate position
- **Skills:** Training Data, Artificial Intelligence, Python (Programming Language), Machine Learning, Standard Sql, Unstructured Data, Large Language Models, Generative AI, Knowledge Engineering
- **Published:** November 12, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28179176/Analyst-Data-Science-Texas-Round-Rock-1312

## About the Role

* Working knowledge of SQL and Python from coursework, projects or self-study

 * Curiosity about GenAI, shown through classes, personal projects or hands-on exploration of tools like LLMs, prompting or retrieval

 * Enjoy working with others, asking questions and learning from teammates and mentors

 * An optimistic, problem-solving mindset and clear communication, with a focus on helping business partners

Desirable Requirements

*Bachelor's degree

## Description

Join us to do the best work of your career and make a profound social impact as a Data Science Analyst on our Data Science Team in Round Rock, Texas.

What you'll achieve

As a Data Science Analyst, you will help build the data and context foundation behind our GenAI capabilities. You will design pipelines that prepare structured and unstructured data for AI, using retrieval, embeddings, metadata and knowledge models to give AI systems the right context. You will help turn these assets into data products that are documented, monitored and supportable, with quality checks and evaluations that let them scale with confidence. You will also partner with business leaders, engineers and technical experts to deliver solutions that drive measurable decisions and outcomes.

You will:

 * Work with internal and external teams to understand business partner needs and turn them into AI-ready data and context requirements

 * Apply techniques from GenAI, machine learning, statistics and knowledge engineering to prepare structured and unstructured data for trusted, actionable insights

 * Build and run evaluations of retrieval, context and model quality (accuracy, groundedness, latency, cost) across different GenAI use cases

 * Own end-to-end delivery of data products, from build to monitoring and documentation, while building expertise in context engineering