Position overviewPosted 2 days ago

Principal Data Scientist - Marketing Platform (Bangkok Based - Relocation Provied)

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Not specifiedProven experience in a Staff Data Scientist, Applied Scientist, ML Engineer, or similar role, with strong ownership of end-to-end ML or LLM initiatives

Bangkok

Compensation
THB 120,000 - THB 180,000
THB / month

Estimated range. Confirm compensation with the employer.

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Listing record updated: November 12, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

This is a senior individual-contributor role leading the design and improvement of production machine-learning and LLM-powered solutions for complex user-facing applications. The role involves experimentation, prompt and retrieval strategy development, evaluation frameworks, model behavior refinement, deployment, monitoring, and ongoing quality improvement.

The successful candidate will bring ownership of end-to-end ML or LLM initiatives, strong foundations in machine learning and statistics, production platform experience, and strong coding ability. The role requires collaboration with product, engineering, analytics, and other technical teams, as well as clear communication with technical and non-technical stakeholders. An advanced degree in a relevant quantitative or technical field is preferred.

Responsibilities

  • Lead the development and enhancement of machine-learning solutions for complex, real-world use cases.
  • Translate open-ended product and user problems into data science approaches, experiments, and measurable outcomes.
  • Design, test, and refine prompts, retrieval strategies, evaluation frameworks, and model behaviors.
  • Own solution quality from early exploration through deployment, monitoring, and iteration.
  • Communicate findings, trade-offs, and recommendations to technical and non-technical stakeholders.

Requirements

  • Strong background in machine learning, statistics, and data science fundamentals.
  • Strong hands-on experience with machine-learning platforms in production settings.
  • Strong coding ability and experience collaborating with software engineering teams in production environments.
  • Experience with prompt design, retrieval, ranking, response quality assessment, or model evaluation.
  • An advanced degree in a relevant technical or quantitative discipline is preferred.

Nice to have

Experience with scalable workflows, evaluation pipelines, monitoring approaches, and feedback loops; advanced degree in a relevant quantitative or technical discipline

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