Responsibilities:

Collaborate with senior management and stakeholders to formulate data strategy with roadmap, advocate data democratization and cultivate data culture in the Company.
Lead a team of data professionals to develop AI and Machine Learning solutions to optimize business performance across different areas of the Company. Apply advanced statistical methods and data modeling to analyze complex data sets ,generate actionable analytics/ insights and extend it as an integral component of business growth
Apply solid experience of digital marketing and loyalty program supported by data modelling to expand payment business and explore new business opportunity
Use key tools of analytics and data science to come up with solution and algorithm with measurable impact and appropriate verification plan. Evaluate new capabilities in advancing the analytical power of the Company
Utilize data visualization tools to communicate findings and insights effectively to both technical and non-technical stakeholders
Establish and maintain a data governance framework to ensure the integrity, security, and compliance of data across the organization

Requirements:

University degree in Computer Science, Quantitative or equivalent disciplines. Graduate or advanced degree qualification in related subjects e.g. Data Science, Statistics, Maths etc
At least 10 years of proven experience in managing and delivering cloud-based Data or AI/ML applications
Solid experience in leading data team including data scientists or data engineers to deliver Data or AI/ML applications
Proven track record of leveraging large amount of data to drive business impact
Hands-on experience of applying data modelling for digital marketing and loyalty program for business expansion
Strong business sense with technical skillset
Good understanding on the prevalent NLP-related algorithms and models like Transformer, GPT, Bert etc.
Have hands-on experience with deep learning framework like Tensorflow, PyTorch.
Familiar with data science libraries like Pandas, Spark, Numpy, Scikit-learn etc.
Strong programming skills in Python, SQL and SAS.
Have experience with Azure and Databricks will be an advantage

Deputy General Manager, Data Science