Senior Data Scientist, GenAI & Applied Analytics

Dell Technologies

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. The role involves building end-to-end ML models, GenAI components, and AI-powered workflows, collaborating with data scientists, engineers, and domain experts to productionize models.

You will work on prompt engineering, RAG pipelines, and scalable Python-based data pipelines, contributing to a robust data culture and

Qualifications

  • 2-4 years of experience in data science, ML, or analytics with a relevant degree.
  • Experience with LLM tools or platforms (e.g., Azure OpenAI).
  • Working with large datasets in production environments.
  • Desirable exposure to model deployment and cross-functional collaboration.

Responsibilities

  • Translate business problems into data-driven solutions with cross-functional teams.
  • Deliver end-to-end analytics solutions from data exploration to deployment.
  • Contribute to GenAI components, prompt pipelines, and evaluation workflows.
  • Collaborate to integrate models into production systems.
  • Share learnings with Data Science community and grow technical skills.

Skills

LLM tools
RAG pipelines
Large datasets
Python
ML modeling
Prompt engineering
GenAI workflows
Code quality

Education

Bachelor’s or Master’s in Statistics/CS/Engineering/Math

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. The role involves building end-to-end ML models, GenAI components, and AI-powered workflows, collaborating with data scientists, engineers, and domain experts to productionize models.

You will work on prompt engineering, RAG pipelines, and scalable Python-based data pipelines, contributing to a robust data culture and

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