About the job
About Our Team
Join the dynamic Artificial Intelligence Platform Services (AIPS) & Analytics team at SEEK, made up of over 250 talented individuals across the Asia-Pacific region. Our cross-disciplinary squads unite experts in Data Science, Product Development, Engineering, and Data Analysis to collaboratively research, design, and implement end-to-end AI-based services that create genuine value for both hirers and job seekers. Our mission emphasizes the safe and responsible use of data and AI, striving to enhance fairness, accessibility, transparency, and efficiency in the employment market for everyone.
To discover more about SEEK’s commitment to Responsible AI, visit our dedicated page: SEEK’s Responsible AI.
Role Overview
The Senior Data Scientist position is integral to our AIPS team, reporting directly to the Head of Responsible AI. This multifaceted role combines elements of Data Science, Machine Learning Engineering, and Research. Success in this position will be reflected in your ability to conduct insightful research and analyses of AI products, as well as propose and implement changes that foster a positive social impact. You will remain abreast of the latest developments and methodologies in Responsible AI, AI, Data Science, and Machine Learning, contributing to a culture of continuous improvement and collaboration. We seek an individual passionate about addressing real-world challenges at the intersection of multiple disciplines to build sustainable, Responsible AI solutions. In this role, you will have the chance to shape the future of Responsible AI at SEEK by leveraging our governance processes, developing best practices, and driving innovation.
Key Responsibilities
- Collaborate with squads to integrate Responsible AI principles into AI/ML and analytics product design and delivery.
- Design, test, and continuously refine Responsible AI assessment methodologies, tools, and metrics.
- Conduct thorough experiments on AI-based services while iterating on data products alongside Strategy, Product, Data Science, and Engineering teams.
- Formulate and consolidate Responsible AI guidelines, training materials, and support documentation.
- Assist squads in embedding Responsible AI processes throughout the AI development lifecycle.
- Promote Responsible AI/ML best practices, effectively communicating their benefits and limitations to stakeholders.
- Collect, model, and validate pertinent data, contributing to research planning, experimental design, and problem-solving across APAC teams.

