Senior Advisor, Data Science

Senior Advisor, Data Science
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.
What you’ll achieve:
SRS Automation is an innovative team aiming to streamline and automate manual heavy processes within the Dell Sales Renewals organization. The team employs creative technologies tailored for each project requirement including RPA, Python, Database query, generative and agentic AI, microservice development and PowerBI for reporting. Dell data security and solid coding standards and procedures are a critical part of how we operate. The team has a large portfolio of automated solutions that are both developed and maintained to ensure continuous efficiency delivery.
We are seeking a highly skilled and motivated Senior Advisor Data Scientist to join our team. The ideal candidate will possess strong communication skills, expertise in Python, and experience in application integration, transformers, agentic ai development and working with Large Language Models (LLMs).
Join us to do the best work of your career and make a profound social impact as a Senior Advisor on our Data Science team.
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
Strong communication skills with Proficiency in Python programming
Experience with application integration and Knowledge of transformers and LLMs
Ability to fine-tune LLMs for domain-specific language and Experience in building agents and agentic workflows
Solid data analytics skills and ability to present findings with 8-12 years of experience in a Data Science role
Experience with Neo4j, Cypher queries, or other graph database integrations and Familiarity with DataRobot or similar ML platform APIs
Desirable Requirements
Knowledge of pgvector or other vector database integrations. Familiarity with MCP (Model Context Protocol) or other emerging agent interoperability standards
Exposure to RPA platforms such as UiPath or Power Automate. Experience with Microsoft Teams bot development (Bot Framework SDK). Background in enterprise automation or integration engineering
You will:
Develop and fine-tune domain-specific language models using LLMs. Build agents that work with LLMs and agentic workflows
Perform data analytics and present findings effectively. Integrate applications and ensure seamless functionality
Collaborate with team members and work independently. Research and stay up-to-date with the latest developments in AI
Ensure adherence to security and coding standards 7

Work arrangement
No