Data acquisition,QCand exploratory analysis on transactional member data
Create models using ML / AI techniques to predict risk andidentifyactionable 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
RequiredSkills
The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improvethe healthcaresystems, and an attitude of creativity and continual learning.
RequiredExperience
5-8years of industry experience with Data Mining, StatisticalAnalysisand leading ML / AI methods;XGBoost, Light GBM, deep learning, reinforcement learning, optimizationrequired
5-8years of experience with Python,PySparkand its data science libraries
Excellent oral and written communication skills
DesiredExperience
Prior experience working in the healthcare industry, servicesopsor digital domain
Experience with deploying predictive models into production