The hiring company is one of companies with strong vision in Data and target to drive data monetization with business and hope to hire a leader with strong will and passion of leveraging data and analytics to drive business success and are eager to contribute to the organization's growthabout the job.
- Implement our data and analytics strategy and drive the adoption of artificial intelligence/machine learning (AI/ML) models to optimize business decisions and operations.
- Drive the integration of AI/ML models into our business processes to enhance decision-making and operational efficiency.
- Utilize advanced customer analytics and big data technology to conduct in-depth analysis, leveraging both internal and external data sources.
- Cultivate strong relationships with all stakeholders, ensuring that work is prioritized based on business needs and opportunities.
- Lead and mentor a team, utilizing a wide range of data science modeling and visualization techniques to solve complex business problems.
- Establish best practices for AI/ML model development and operation, ensuring scalability, accuracy, and reliability.
skills & experiences required.
- University graduate in Computer Science, Applied Statistics, Decision Science, Data Science or Mathematics
- At least 10 years working experience in Data Science / Business Analytics from recognized establishments in financial services and/or Fintech related industries with the following attributes:
- Strong knowledge on statistical, data modeling, data science, machine learning and analytics techniques
- Strong knowledge on data preparation, data visualization and experience of complex analytical and technical problems
- Experience in cloud environment (e.g. GCP, AWS, etc) and database such as Teradata or similar technology
- Result oriented and able to deliver under pressure
- Excellent communication and negotiation skills
- Strong interpersonal skills and a good team player
- Good command of both spoken and written English and Chinese
If you’re interested in this exciting opportunity please don’t delay and click APPLY NOW; or for more information, you can reach out to Wendy Fung at wendy.fung@randstad.com.hk