Summary

The Data Scientist Lead Analyst will contribute to the Medicare Clinical and Customer strategy, performing research and analysis within the Clinical, STARS, and Risk Adjustment Analytics team. Reporting to the Senior Manager of Clinical & Customer Data Science, the data scientist will analyze healthcare claims, clinical outcomes, customer enrollment patterns, and financial information to make recommendations based on relevant findings. The Clinical, STARS, and Risk Adjustment Analytics team seeks to provide operational and analytical support to our partners to improve clinical programs, customer value, growth, and retention for Cigna Medicare. This role will help us accomplish this through data science, strategic insights, and collaboration with our internal partners.

The Data Scientist Lead analyst will interface across multiple business areas, including, but not limited to clinical, pricing, reporting, product development, operations, and marketing departments as needed. The ideal candidate for this role will be highly motivated, flexible, embrace change, as well as develop analytical and statistical models and methodologies to predict, quantify, and/or forecast business metrics.

Responsibilities

Extract and analyze large healthcare claims using SAS, SQL, R, Python, Teradata, Hadoop, etc. for predictive modeling, machine learning, and other data science techniques

Document the methodology, process, code, and results of their work

Proactively works with more senior team members to understand project goals and priorities

Clearly and concisely communicates project results and methodologies

Demonstrates problem solving skills

Present technical topics and results to non-technical stakeholders

Use data science techniques to classify, quantify, and/or forecast business metrics that help customers make sound business decisions related to clinical and customer strategy

Qualifications

2+ years' common health care data knowledge (e.g., claims, EHR, laboratory data)

Familiarity with applied machine learning and model development

Ability to develop and deploy ML/predictive models to production and cloud environment

Familiarity with Python, SQL, Git and/or related tools

Training in data analytics, statistical methods, and machine learning w/ Python, R, Keras, TensorFlow and/or similar tools

Follows best programming practices and writes clean, documented, and well-structured code

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 83,000 - 138,300 USD / yearly, depending on relevant factors, including experience and geographic location.

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.

Qualified applicants with criminal histories will be considered for employment in a manner
consistent with all federal, state and local ordinances.

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.