Senior Analyst, Data Science

Senior Analyst, Data Science (Applied AI, GenAI & Advanced Analytics)

Dell Technologies is a leader in providing technology infrastructure to its customers in an era increasingly being driven by digital and data. Enabling Dell to satisfy its customers’ needs hinges on executing a world class supply chain, connecting together sales orders with a complex ecosystem of partners and suppliers. Data plays an integral role in this as we digitize and modernize our supply chain. Join our Data science team within Supply chain as a data scientist to solve our most challenging business problems with statistical, predictive and prescriptive approaches, making our decision making faster and more sophisticated. We offer a competitive remuneration package.

What you’ll achieve:

As a Senior Analyst, you will work with data scientists, engineers, and supply chain domain experts to translate business problems into data-driven solutions.

Join us to do the best work of your career and make a profound social impact as a

Senior Analyst, Data Science Team

in

Singapore

.

You will also:

Work with data scientists, engineers, and supply chain domain experts to translate business problems into data-driven solutions

Deliver end-to-end solutions for moderately complex problems, from data exploration to model deployment, with support from senior team members.

Use AI-assisted coding tools (e.g., Copilot, LLM-based tools) to improve productivity, while ensuring correctness and maintainability of generated code

Contribute to GenAI and agentic solutions, including building components such as prompt pipelines, retrieval systems, and evaluation workflows

Participate in experimentation and innovation initiatives, such as prototyping new approaches and applying emerging AI techniques to business problems

Collaborate with cross-functional teams to integrate models into production systems

Share learnings with peers and contribute to a data science community of practice

Continuously grow technical skills through a structured development plan

Essential Requirements

1. 2 to 4 years of experience (or equivalent) in data science, ML, or analytics with a Bachelor’s or Master’s degree in Statistics, Computer Science, Engineering, Mathematics and experienced in:

LLM tools or platforms (e.g., Azure OpenAI or similar)

Basic RAG pipelines or embeddings

Working with large datasets in production environments

2. Applied Data Science & Solution Delivery

Develop, evaluate, and deploy machine learning and statistical models to solve business problems

Own well-defined problem areas end-to-end, including data preparation, modeling, and performance evaluation

3. GenAI & Emerging AI Techniques

Hands-on implementation of GenAI components and workflows, including:

Prompt engineering

Retrieval-augmented generation (RAG)

Basic LLM-based workflows

Assist in developing agentic or multi-step AI workflows under guidance

Evaluate outputs for quality, relevance, and reliability

4. Coding Assist & Code Quality

Use coding-assist tools effectively to accelerate development

Review, debug, and maintain tool-generated code, ensuring quality and correctness

Write clean, well-documented, and testable code following software engineering best practices

5. Modeling & Analytics

Build supervised and unsupervised models including regression, classification, clustering, forecasting, and basic NLP

Perform exploratory data analysis and feature engineering on structured and unstructured datasets

Design and execute experiments (e.g., hypothesis testing, experimentation frameworks), select and tune models to optimize performance.

6. Data & Systems Integration

Query and process data from SQL and unstructured sources

Work with engineering teams to deploy models into production environments

Own model deployment with support from engineering or senior team members

7. Programming & Tools

Strong proficiency in Python

Familiarity with common data science libraries and workflows

Awareness of scalability and performance considerations

8. Innovation & Research

Contribute to innovation through experimentation, prototyping, and applying new techniques

Stay current with emerging trends in ML and GenAI, and apply them where relevant

Participate in team-level research or hackathon initiatives

Desirable Requirements

Exposure to model deployment (APIs, containers, or cloud platforms) and cross-functional collaboration in delivering data products

Familiarity with MLOps / LLMOps concepts. Experience in supply chain, logistics, or operations analytics. Familiarity with MLOps / LLMOps concepts. Participation in innovation initiatives, hackathons, or applied research projects

Dell is a privately owned multinational IT Solutions company. Founded in 1984, Dell is among the Fortune 100 companies with net revenues of more than USD57 billion, over 108,000 team members globally and customers in more than 180 countries. Dell was the first in the computer industry to sell custom-built computers directly to customers, and has continued to pioneer technologies and innovations over the years.

Today, Dell offers a comprehensive end-to-end portfolio of products, solutions and services such as personal computers, servers, data storage devices, network switches, software, printers, security, computer peripherals etc. as well as solutions and services that cater to the needs of business organizations and consumers around the world.