Posted:8 hours ago|
Platform:
Work from Office
Full Time
Role Summary
Using your knowledge of ML / AI, you will build technologies to generate descriptive and predictive insights on how we can better serve throughout their customer journey, with digital assets we have. Your work will require deep acquaintance with Evernorth s data, seeking to find ways to deliver value through advanced feature engineering. From your models, you will deliver actionable insights that can be incorporated into existing digital and marketing solutions as well as informing on new strategy. In addition to collaborating with Data Science Management and Business Analytics partners to establish strategic priorities, you will work closely with Data & Engineering to deliver code that is robust and ready to scale.
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
8-12 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
Experience working with business stakeholders
Cigna Medical Group
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