Senior Data Scientist - GenAI & Applied AI in Supply Chain

Dell

Singapore

On-site

SGD 90,000 - 130,000

Full time

4 days ago
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Job summary

Dell Technologies in Singapore is seeking a Senior Analyst, Data Science to translate business problems into data-driven solutions within the Supply Chain data science team. You will collaborate with data scientists and engineers to deploy models and develop GenAI workflows, contributing to production-ready AI initiatives in Jurong East, Singapore.

The role emphasizes hands-on coding, experimentation with GenAI components, and cross-functional collaboration to deliver impactful data products for

Qualifications

  • 2 to 4 years of experience 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.

Responsibilities

  • Translate business problems into data-driven solutions with data scientists, engineers, and domain experts.
  • Deliver end-to-end solutions from data exploration to model deployment with support from senior team members.
  • Contribute to GenAI and agentic solutions, including prompt pipelines, retrieval systems, and evaluation workflows.
  • Collaborate with cross-functional teams to integrate models into production systems.
  • Share learnings and grow through a structured development plan.

Skills

LLM tools
RAG workflows
Python
Code quality

Tools

Azure OpenAI

Job description

Dell Technologies in Singapore is seeking a Senior Analyst, Data Science to translate business problems into data-driven solutions within the Supply Chain data science team. You will collaborate with data scientists and engineers to deploy models and develop GenAI workflows, contributing to production-ready AI initiatives in Jurong East, Singapore.

The role emphasizes hands-on coding, experimentation with GenAI components, and cross-functional collaboration to deliver impactful data products for

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