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-...