Job summary

Responsibilities
* Perform customer segmentation and profiling analysis through advanced data mining and machine learning technologies.
* Providing business insights based on customer analytics and conducting campaign management.
* Drive Machine Learning automation by adopting data visualization technologies to enable data-driven decision-making culture.
* Leverage digital & customer engagement platforms, big data infrastructure and machine learning techniques to drive...

Responsibilities
* Perform customer segmentation and profiling analysis through advanced data mining and machine learning technologies.
* Providing business insights based on customer analytics and conducting campaign management.
* Drive Machine Learning automation by adopting data visualization technologies to enable data-driven decision-making culture.
* Leverage digital & customer engagement platforms, big data infrastructure and machine learning techniques to drive customer engagement activities.
* Perform data collection for customer analytics and intelligence payment screening.
* Perform evaluation on the effectiveness of propensity models and big data applications.

Requirements
* 6+ years of relevant experience in predictive analytics, data science or related quantitative fields.
* Solid and hands-on experiences in statistical techniques, data modeling, data science, machine learning, analytics, and data management
* Hands on in using SAS, SQL, Python for data extraction and data preparation, and hands-on experiences in using cloud platform are highly preferred.
* Experience with data visualization (e.g Tableau or PowerBI) is an asset.
* A good team player with strong interpersonal, communication and negotiation skills
* Proficient of both spoken and written English and Chinese

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