Data Science Analyst - Kwun Tong, 香港 - The Cigna Group

描述

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply

Our people make all the difference in our success.

We are looking for an individual who is passionate about data and excellent at problem solving to join our Data Science team within Cigna International Markets Data & Analytics. Our Data Science team develops and implements state-of-the-art classification and predictive models to solve problems identified by US Digital Acquisition and Engagement Analytics. For this role, the objective is to combine technical aptitude and a consultative approach to design, develop and deploy data analytics products which create values through implementations.

Job Responsibilities:

• Institutionalize end-to-end data analytics development and implementation cycle to ultimately create values to the businesses
• Work with US Digital Acquisition and Engagement Analytics to understand business problems and formulate the most appropriate data analytics approach
• Employ state-of-the-data machine learning algorithms to develop and validate predictive / prescriptive analytics
• Implement predictive / prescriptive analytics in the manner that their effects are trackable
• Work with Data Engineering to keep abreast of data ingestion and data enrichment including first and third party data
• Work with Data Management and Governance to ensure full compliance of data protection and Artificial Intelligence ethics.
• Manage the entire predictive / prescriptive analytics lifecycle from model development to model power evaluation to model power monitoring.
• Lead a team of 2 or 3 data scientists and analysts.

Job Requirements:

• Tertiary education in Data Science, Statistics, Actuary, Applied Mathematics
• Knowledge and experience in supervised and unsupervised machine learning algorithms including but not limiting to regression, decision trees, gradient boosting, k-nearest neighbor, Naive Bayes classifier, deep learning, and natural language processing / understanding.
• Knowledge in International Classification of Diseases (ICD)
• Knowledge and experience in Python
• Knowledge and experience in SQL and NoSQL
• Experience in Cloud computing preferably Amazon Web Services, Sagemaker, Athena, Databricks, etc.
• Strong communication skill in English; additional languages an advantage

Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.