Vice President, Data Science
PCCW Enterprises Limited
Hong Kong

Job Description :

We are looking for a Vice President, Data Science to drive and oversee data science capabilities for our businesses by envisioning and executing strategies that will influence and enable our business’s performance.

The Vice President will lead a team of data scientists to plan and prioritize the data science projects, build analytics models, utilize cutting edge machine learning, deep learning and advanced big data techniques to identify opportunities, drive data-driven solutions and present insightful recommendations to stakeholders that positively impact our diverse businesses.

  • Lead, manage and coach a team of data scientists at different levels to support various aspects of the business with advanced data analytics tools and technologies
  • Plan and prioritize the roadmap of data science projects to realize business strategy / needs for delivery
  • Build predictive models using machine learning and deep learning algorithms
  • Provide thought leadership in identifying business-wide opportunities and deriving actionable insights from data
  • Present customer insights and recommendations to senior management and business units to win buy-in
  • Execute, manage and review complex data science projects in agile manner and track the business performance against the data models
  • Collaborate with IT team to propose appropriate data science technology considerations
  • Recruit and train data scientists with technical capabilities uplifted and promote data best practices within the organization
  • Requirements :

  • Master degree in Data Science, Computer Science, Mathematics, Statistics or relevant discipline
  • At least 10 years’ relevant experience in data science areas
  • Hands-on experience in machine learning and deep learning algorithms
  • Proven track record in building data analytics applications to realize enterprise value at scale with broad coverage of use cases across the value chain
  • Exposure to a wide spectrum of big data technologies (e.g. Hadoop, Spark, TensorFlow), database technologies (e.g. SQL, NoSQL, Graph databases), programming frameworks (e.
  • g. Python, R, Scala, Java), and data visualization tools (e.g. Tableau, QlikSense)

  • Solid experience in big data strategy and data management (e.g. GPU cluster management, secure and privacy-protecting data sharing techniques)
  • Data analytics experience in different service industries (e.g. telecom, financial services, e-Commerce, customer loyalty) with strong business mindset
  • Strong organizational and problem-solving abilities combined with excellent communication and presentation skills to clearly elaborate the data analysis and insights to stakeholders
  • Experience in leading and coaching a team of data scientists
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