Summary
Using your knowledge of ML / AI you will build technologies to determine when a customer might be at risk and what actions can be taken to help improve health trajectories. Your work will require deep acquaintance with our 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 wellness products as well as new programs. In addition to collaborating with Data Science Management to establish strategic priorities, you will work closely with Data & Engineering to deliver code that is robust and ready to scale.
The ideal candidate for this role will have strong coding skills (preferably in Python), a passion for creating technology to improve health care, and an attitude of creativity and continual learning.
Responsibilities
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
Provide thought leadership on latest analytic techniques, technologies and methods
Qualifications
Experience with leading ML / AI methods; XGBoost, deep learning, linear regression, supervised and unsupervised learning techniques and reinforcement learning; optimization required
Experience with Python and its data science libraries such as Scikit-learn, Pandas, Numpy required
Excellent oral and written communication skills
MS in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience
This role is also anticipated to be eligible to participate in an annual bonus plan.
We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group.
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
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