Senior Data Scientist (Ref: 20007623)
The Hong Kong Jockey Club
Hong Kong

The Department

The Customer and International Business Development Division (C&I) is responsible for providing quality wagering experience to local and overseas customers of The Hong Kong Jockey Club.

It operates 88 Race Meetings a year, 37 Simulcasts days, a thrice-weekly Mark 6 Draw, 7X24 Digital Channels, 7X24 Football Betting Services on over 11,000 different leagues per year.

The ultimate aim is to provide an impressive total customer experience leading to sustainable turnover growth in a responsible manner.

The Artificial Intelligence Department provides AI solutions to different business units of the Club in achieving the Club's objective of Total Customer Satisfaction.

The job holder reports to Lead Artificial Intelligence Data Scientist and is responsible for driving Big Data insights to the Club’s business, performing maintenance on existing systems, and assisting in building Big Data models and to access the Club’s databases.

You will :

  • Use machine learning algorithms and programming to build predictive models
  • Work closely with cross-functional teams to perform statistical analysis and AI solutions at department and division level
  • Effectively translate business questions into quantitative problems to generate actionable insights for business strategies
  • Undertake processing of structure and unstructured data
  • Prepare and automate performance reports for the Management
  • Develop and manage data pipeline for AI and Automation projects
  • Ensure compliance with Responsible Gambling Policy and all stipulated legal requirements pertaining to wagering, thereby protecting the integrity of the Club’s businesses
  • Undertake other duties as assigned by Line Manager
  • You should have :

  • Master degree in quantitative discipline such as Data Science, Statistics, AI, Computer Science, Engineering or a related discipline.
  • A minimum of 2 years’ experience in big data projects (Mphil and Ph.D projects can be applied)
  • Solid programming skills with Python / R and SQL. Knowledge of new wave AI and ML languages and technologies
  • Good understanding of the underlying theory and implementation details of ML algorithms such as clustering, decision trees, XGBoost, TensorFlow
  • Capability in handling and processing large volumes and high variation of data efficiently
  • Willingness to embrace new ideas and learn continuously with a positive attitude
  • Terms of Employment

    The level of appointment will be commensurate with qualifications and experience.


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