Work closely with local teams to drive end-to-end BI projects across multiple markets, coordinating stakeholders from different business functions to ensure timely and successful project delivery
Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
Lead end-to-end data mapping activities from current-state (As-Is) systems to target-state (To-Be) platforms, including RDP, T360, ACBS, Flexcube, Oracle OBPY & GLCS, and Murex.
Coordinate the planning and delivery of organisation-wide AI programmes and initiatives, ensuring they are aligned with organisational priorities and achieve intended outcomes.
Requirements Analysis: Understand Key Package Requirements for New Product Introduction (NPI), including Technology, Bill of Materials (BoM), Package Design Features, Assembly Site, Electrical specs, and Cost.
Build strong relationships with key client stakeholders, understanding their business objectives and measurement needs. Partner closely with Google Sales teams, Product teams, and Engineering teams to ensure alignment and drive product innovation.
Support regional advertising measurement projects across branding and performance use cases, working closely with COE members and cross-functional partners
Bachelor’s degree in computer science, statistics, mathematics, economics, finance, data science, or a related field; advanced study is an asset for some roles
Aicadium is seeking for a Director of Data Science to lead our growing team of Data Scientists (DS) across multiple computer vision and machine learning projects. This role is based in our Singapore office and works closely with colleagues in San Diego.