Data Science Lead Analyst (Medicare) - Hybrid

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 ...