Data acquisition, QC and exploratory analysis on transactional member data
Create models using ML / AI techniques to predict risk and identify actionable insights
Deliver clean, reusable, and scalable code
Work closely with Data & Engineering to deploy models
Partner with senior team members on the latest analytic techniques, technologies, and methods
Qualifications
Required Education
MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience
Required Skills
The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.
Required Experience
5-8 years of industry experience with Data Mining, Statistical Analysis and leading ML / AI methods; XGBoost , Light GBM, deep learning, reinforcement learning, optimization required
5-8 years of experience with Python, PySpark and its data science libraries
Excellent oral and written communication skills
Desired Experience
Prior experience working in the healthcare industry, services ops or digital domain
Experience with deploying predictive models into production