Senior Manager, Data Science
تفاصيل الوظيفة
We operate one of the world's leading and most extensively accepted contactless smartcard payment systems, providing both offline and online payment services. There are over 160,000 acceptance points for Octopus cards in Hong Kong, spanning across the city. We have over 30 million Octopus cards and products in circulation. We handle 15 million transactions a day with transaction value of HK$260 million. Our Vision To become the most preferred payment and lifestyle companion that connects customers and business partners through our best-in-class products and services. Our Mission Making everyday life easier. Our Values Customer Centricity, Simplicity, Inclusiveness & Trustworthiness. Our people are our most important asset. We respect each other, embrace collaboration, innovation and partnership. Come join us and make an impact to the future payment society! Job Responsibilities
- Responsible for building analytical and scientific solutions to help solving business issues with providing timely, accurate and actionable insights
- Conduct consumer/ merchant analysis via state-of-art Machine Learning (ML) algorithms or data modelling
- Assist supervisor to formulate company-wise data strategy that advocating a culture of data-driven decision-making and exploring new data initiatives for long term development
- Support data democratization in the company; dashboard development and skill transfer
- Devise algorithms/ machine learning models in cloud data platform to mine big data; perform business performance analysis to identify opportunities/ threats
- Support the implementation of different data science applications in cloud platform e.g. app analytics, CRM modelling and campaign system management
- Implement analytical models into production by collaborating with software developers and machine learning engineers
- Utilize data visualizations to present findings and insights that can create business impact
- Clean and validate data for uniformity and accuracy. Explore innovative ways for data integration to enforce good governance on data management and regulatory compliance
- Postgraduate degree in Statistics, Computer Science, Data Science or related disciplines
- Minimum of 10 years of solid experience in data analytics and/or related industries with at least 5 years in data science/ cloud platform
- Solid experience of key machine learning and deep learning framework, e.g. Tensor flow, Caffe, CNTK…etc.
- Solid experience in key machine learning and big data cloud platform, e.g. Microsoft Azure ML Services & Data Warehouse, AWS SageMaker & Redshift, Google ML and BigQuery, etc.
- Experience in common data science languages/toolkits, such as Python, SQL, R, Scala, Apache Spark, Keras, etc., to manipulate data and draw insights from large data sets is desirable
- Experience in data architectures and in data visualization BI tools, such as Tableau, PowerBI, Cognos, etc.
- Team player with passion, positive attitude and with good business acumen
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