Dell

Consultant, Data Science

Dell$120K — $150K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in data science or computer science with at least 6 years of experience, or 10+ years in a Data Science role.
  • Proficient in ML algorithms, generative AI, and agentic frameworks like LangChain and MCP.
  • Strong programming skills in Python and experience with Git and Docker.
  • Demonstrated ability to work independently and make technical decisions in ambiguous situations.
  • Solid understanding of experimental design and data workflows.

Responsibilities

  • Lead the development and deployment of ML models and LLMs into production.
  • Own the experimentation strategy, identifying and assessing approaches for deployable solutions.
  • Build scalable data and model pipelines across cloud platforms for automation purposes.
  • Establish best practices for LLMOps, including model lifecycle management and responsible AI.
  • Provide technical leadership and mentoring to junior team members, collaborating with teams across various regions.

Benefits

  • Flexible work environment.
  • Opportunity to lead high-visibility projects for global teams.
  • Professional development and mentoring opportunities.
  • Access to cutting-edge AI technologies and resources.
Full Job Description
Job Description

Consultant, Data Scientist

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.

About Dell

EMC2 provides critical engineering services for municipal and commercial setors. They delivers geotechnical engineering related to soil behavior and soil properties, as well as recommendations of design parameters and design of structures considering soil-structure interaction. Their services include geotechnical analysis and design, field exploration, testing and construction observation services.

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Learn more about Dell
Size
133,000 employees
Market Cap
$28.2 billion
Industry
Net Income
$3.2 billion
Founded
2012
5 Year Trend
+10.2%
Revenue
$94.2 billion
NASDAQ

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