AI Product Analyst — Benchmarking & Impact

Info-communications Media Development Authority

Singapore

On-site

SGD 90,000 - 130,000

Full time

14 days+
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Job summary

Info-communications Media Development Authority (IMDA) seeks a Product Analyst at Manager level to bridge AI research with practical evaluation needs. You will lead quality assurance of datasets and evaluators, shaping tools for developers and organisations to build reliable AI systems.

You will design evaluation pipelines, generate Singapore-relevant test cases, and translate research into prototypes for engineering teams.

Qualifications

  • Background in Statistics or Data Science, or a related technical field.
  • 1-3 years’ experiences as a data scientist, with strong grounding in experimental design and analysis.
  • Proficiency in Python/ R is required. Experience in AI testing is a plus.
  • Deep intellectual capacity combined with a practical, user-centric mindset.
  • Excellent communication skills— excel in storytelling with data, and able to simplify complex concepts for varied audiences.

Responsibilities

  • Design and run offline A/B experiments to design optimal evaluation pipelines for benchmark tests offered in Project Moonshot, including LLM-as jury.
  • Contribute to the development and maintenance of benchmark datasets, particularly generating realistic test cases in the context of Singapore.
  • Research emerging GenAI evaluation best practices and open-source tools — translate key insights to inform product roadmap, and turn research findings into actionable prototypes for engineering teams.
  • Educate and engage the developer community to build awareness of the challenges in benchmark testing, and champion the solutions provided in our library.

Skills

Statistics
Data Science
Experimental design
Python
R
Communication

Tools

Python
R

Job description

Info-communications Media Development Authority (IMDA) seeks a Product Analyst at Manager level to bridge AI research with practical evaluation needs. You will lead quality assurance of datasets and evaluators, shaping tools for developers and organisations to build reliable AI systems.

You will design evaluation pipelines, generate Singapore-relevant test cases, and translate research into prototypes for engineering teams.

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