Senior Analyst, Data Science

Dell

Singapore

On-site

SGD 80,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Award-winning financial wellness tools

Generous leave for new parents

Job summary

Dell is seeking a Senior Analyst in Data Science to join their team in Singapore. The candidate will work with data scientists and engineers to translate complex business challenges into data-driven solutions. This role involves developing, evaluating, and deploying machine learning models and contributes to innovative AI projects.

Preferred qualifications include 2 to 4 years of experience in data science and proficiency in Python. Dell offers a competitive remuneration package and various employee benefits, including wellness tools and generous leave for new parents.

Qualifications

2 to 4 years of experience (or equivalent) in data science, machine learning, or analytics.
Develop, evaluate, and deploy machine learning and statistical models.
Work with large datasets in production environments.

Responsibilities

Translate business problems into data-driven solutions.
Deliver end-to-end solutions from data exploration to model deployment.
Collaborate with cross-functional teams to integrate models.

Skills

Experience in data science

Proficiency in Python

Familiarity with LLM tools

Modeling & analytics

Basic RAG pipelines experience

Data preparation and modeling

Education

Bachelor's or Master's degree in Statistics, Computer Science, Engineering, or Mathematics

Tools

Python libraries for data science

Job description

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 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

Qualifications

Experience: 2 to 4 years of experience (or equivalent) in data science, machine learning, or analytics with a Bachelor’s or Master’s degree in Statistics, Computer Science, Engineering, or Mathematics.
Familiarity with LLM tools or platforms (e.g., Azure OpenAI or similar)
Basic RAG pipelines or embeddings experience
Working with large datasets in production environments
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.
Hands‑on GenAI components and workflows: 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.
Coding Assist & Code Quality: Use coding-assist tools effectively; review, debug, and maintain tool-generated code; write clean, well-documented, testable code following software engineering best practices.
Modeling & Analytics: Build supervised and unsupervised models (regression, classification, clustering, forecasting, basic NLP); perform exploratory data analysis and feature engineering; design and execute experiments (e.g., hypothesis testing, experimentation frameworks).
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.
Programming & Tools: Strong proficiency in Python; familiarity with common data science libraries and workflows; awareness of scalability and performance considerations; contribute to innovation through experimentation, prototyping, and new techniques; stay current with emerging trends in ML and GenAI and apply them where relevant; participate in team-level research or hackathon initiatives.
Exposure to cross‑functional collaboration in delivering data products; familiarity with MLOps/LLMOps concepts; experience in supply chain, logistics, or operations analytics; participation in innovation initiatives, hackathons, or applied research projects.

Benefits

Award winning financial wellness tools and resources
Generous leave of absence for new parents and caregivers

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.

Job Information