Data Scientist

Data Scientist

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.

What you’ll achieve

As lead data scientist, you will drive experimentation, architecture and model deployment for high-visibility initiatives, working closely with global teams and influencing foundational decisions for our AI stack. You will combine ML depth with practical engineering sense, solve open-ended problems and independently convert ideas into production systems. 

We are looking for senior team-member, who wants to shape how Dell builds and deploys ML, GenAI and Agentic solutions at scale.  

You will:

• ​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. 

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential 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. 

Desirable Requirements

• 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. 

Compensation: Dell is committed to Fair and Equitable compensation practices. The Base Salary Range for this role is $185,000 - $254,000

Benefits and Perks of working at Dell Technologies

Your life. Your health. Supported by your benefits.  You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.