Data Scientist

Job Description

Technical understanding

A working understanding of the data used in healthcare is optimal as data forms the basis of products, as such
the following core understandings are required:
• Experience using SQL, python, and advanced excel for performing exploratory data analysis for data
science projects
• Experience in a range of data science algorithms (Machine Learning, Deep Learning, Reinforcement
Learning, etc.).
• Experience of building & deploying machine learning models in cloud environment: Microsoft Azure
preferred (Databricks, Synapse, Data Factory, etc.)
• Knowledge of the MLOps process and AI governance

Preferred:

• Knowledge of the model lifecycle in at least 2 out of the following areas of expertise from clinical,
operations, financial, fraud, digital, sales and marketing, wellness, or any relevant dataset in healthcare
• Knowledge of health outcome indices and metrics and measures
• Knowledge of patient health management, provider profiling, healthcare reporting, and other key
healthcare technologies etc. is advantageous
• Knowledge of clinical tools including coders, groupers, and classifications is advantageous
• Knowledge of data science in the healthcare space is advantageous
• Knowledge of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk
rating, etc.) is advantageous

Qualifications

• Degree in either Data Science, Statistics, Applied Mathematics or Computer Science
• Master's degree plus 1 to 5 years of relevant data science experience required or bachelors plus 1 to 7
years of relevant experience required
• Experience in healthcare data science is preferred.