Job Description
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.
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