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Data Science Senior Advisor
3 months ago
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.
Summary
The Data Science team is searching for an energetic and driven Data Science Sr. Advisor to bring best in class analytics and leadership to the Global Data and Analytics organization. The Data Science Sr. Advisor will contribute alongside a team of data scientists that are responsible for Common Currency Solution Evaluations. The goal of these evaluations is to identity the impact of Cigna Solutions on Total Cost of care using a consistent methodology and framework. The insights from these evaluations will be used to inform enterprise Affordability Initiatives.
The Solution Value Analytics team is responsible for generating actionable metrics and insights to internal and external business partners and customers that help reduce health costs, improve clinical outcomes, provide financial security and measure and forecast business performance. The team provides analytical discipline and rigor to enable fact-based decisions for the organization.
Responsibilities
- Manage high level tasks (programming, methodology, automation) contributing to performing Common Currency Evaluations
- Partner with other Data Science teams to support the Common Currency initiatives (Methodology, Governance, coordination of work and roadmaps across Data Science Verticals)
- Partner with the Product Owner for a new Clinical Program Evaluation tool that Cigna is building and deploying in production (based on Common Currency Framework)
- Build and validate programmatic foundation driving Clinical Program Evaluation Tool
- Evolve Clinical Program Evaluation Tool toward an automated state
- Utilize data science and advanced analytics to create actionable insights and recommendations for business leaders to advance Cigna's strategic objectives (including Solution value and Affordability)
- Stay up to date on latest data science tools and techniques (e.g. modeling, technology, and industry trends). This includes internal techniques such as available data sources and analytic platforms
- Stay up to date on Cigna Solutions (including Coordinated and Point Solutions initiatives)
- Regularly communicate work and give presentations with business stakeholders and senior leadership
Qualifications
- 5+ years' of experience analyzing health insurance claims (Medical, Lab, Eligibility, etc.)
- Strong technical skills extracting and analyzing large amount of data across various platforms using SQL, Python and/or SAS
- Ability to translate analyses into actionable insights for business leaders
- Prior experience automating solutions
- Strong verbal/written communication, leadership and presentation skills
- Strong critical thinking and problem solving skills
- Ability to perform program evaluation analyses
- Experience coordinating strategy and work efforts across multiple stakeholders
- Advanced degree or equivalent experience in Statistics, Biostatistics, Econometrics, Economics, Epidemiology, Actuarial Science, or Data Science highly preferred
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.
