Data Science Lead Analyst (Medicare) - Hybrid

The job profile for this position is Data Science Lead Analyst, which is a Band 3 Senior Contributor Career Track Role.Excited to grow your career?We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!Our people make all the difference in our success.SummaryThe 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 strategyQualifications• 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 codeIf 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.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.Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.