Principal Data Scientist - Marketing Platform (Bangkok Based - Relocation Provied)
Who is our client?
Our client is a large-scale technology organization with a strong focus on engineering, data, and AI. They are continuing to invest in AI/ML platform capabilities that enable teams to build, operate, and scale machine learning and intelligent applications more effectively.
About the Role
This role is for a senior individual contributor who will lead the design and improvement of machine learning-powered solutions in a production environment. You will work on complex user-facing AI systems, drive experimentation and model improvement, and collaborate closely with cross-functional teams to turn ambiguous problems into practical, scalable solutions.
Responsibilities
Lead the development and enhancement of machine learning-based solutions for complex, real-world use cases
Translate open-ended product or user problems into clear data science approaches, experiments, and deliverable outcomes
Design, test, and refine prompts, retrieval strategies, evaluation frameworks, and model behaviors to improve quality and reliability
Build robust experimentation methods to assess model performance and compare alternative approaches
Work closely with product, engineering, analytics, and other technical teams to define priorities and drive implementation
Take ownership of solution quality across the lifecycle, from early exploration through deployment and iteration
Use data-driven methods to identify opportunities for model improvement, user impact, and system optimization
Contribute to the design of scalable workflows, including evaluation pipelines, monitoring approaches, and feedback loops
Communicate findings, trade-offs, and recommendations clearly to both technical and non-technical stakeholders
Support strategic decisions on model quality, scalability, performance, and long-term maintainability
Provide senior-level guidance in solving ambiguous AI problems with practical and measurable outcomes
Qualifications
Proven experience in a Staff Data Scientist, Applied Scientist, ML Engineer, or similar role, with strong ownership of end-to-end ML or LLM initiatives
Strong hands-on experience with machine learning platforms in production settings, including experimentation, evaluation, iteration, and quality improvement
Solid background in machine learning, statistics, and data science fundamentals
Experience applying quantitative methods to solve complex product or system problems at scale
Strong coding ability and practical experience working closely with software engineering teams in production environments
Experience building or improving systems that involve prompt design, retrieval, ranking, response quality assessment, or model evaluation
Strong understanding of experimentation design, success metrics, offline and online evaluation, and performance analysis
Comfortable working with ambiguity and shaping loosely defined problems into structured analytical approaches
Able to communicate complex technical ideas clearly and influence cross-functional stakeholders
Experience operating in fast-paced, product-driven environments with high expectations for quality and execution
Advanced degree in a relevant field such as Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative discipline is preferred
#LI-SERTIS