Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
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Applications: Please send application quoting the reference number to the Human Resources Unit, HKU SPACE, Suites A & B, 12/F, United Centre, 95 Queensway, Admiralty, Hong Kong. You may apply online or download an application form at http://hkuspace.hku.hk/jobs or request one by fax at (852) 2540 3271.
The information provided in an application will only be used for the purpose of consideration for appointment by HKU SPACE. Applicants not contacted within 8 weeks from the closing date may assume that their applications are unsuccessful. Unsuccessful applications will be kept for a maximum period of 24 months.
Work with other teams in the organization to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules.
Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.
Analyse and translate data findings into meaningful, actionable insights including synthesising relevant insights from different customer touch points and data sources.Build LLM-based agents to advertising use cases such as audience targeting, creative optimisation, bid management and campaign performance analysis to drive measurable business outcomes.
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Attend and assist in facilitating project meetings / workshops with client stakeholders.
Propose, implement, and validate data science models, ensuring functional and non-functional requirements such as explainability, fairness, scalability, security, integration and operational costs.
Participate actively in software development processes and best practices, documentation of requirements and software codes during the software development lifecycle.
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