Consultant, Data Science

Dell Technologies • Round Rock, TX

3d • Onsite

About The Position

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

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

Requirements

• Master’s degree in data science / computer science with 6+ years professional experience OR 10+ years of professional experience in Data Science role
• Strong expertise in ML algorithms, generative AI, LLM architectures, and agentic frameworks (LangChain, MCP, A2A, etc.).
• Strong engineering skills: Python, Git,Docker, and solid understanding of modern MLOps practices.
• Ability to work independently, make technical decisions, and navigate ambiguity without close direction.
• Strong grounding in experimental design, data workflows, and choosing the right model for the right problem.

Nice To Haves

• PhD or published research in ML/AI, or deep expertise across ML and LLM operations (e.g., neural networks, RAG workflows, chatbot or multiagent deployments using LangGraph, realtime analytics, , and LLM specific ethical considerations).
• Experience with RLHF, finetuning, or other advanced evaluation and alignment frameworks for generative models.

Responsibilities

• Lead end to end development and deployment of ML models, LLMs, and agentic frameworks into production.
• Own experimentation strategy - identify promising approaches, run experiments, and assess feasibility to turn concepts into deployable solutions.
• Build scalable data and model pipelines, covering training, evaluation, inference, and automation across cloud platforms.
• Establish LLMOps best practices, including monitoring, guardrails, model lifecycle management, and responsible AI guidelines.
• Provide technical leadership, mentoring junior contributors and partnering with cross-functional teams across EMEA, India, and the US.

What This Job Offers

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