[Hiring] Data Science Senior Advisor @The Cigna Group

Role Description

The job profile for this position is Data Science Senior Advisor, which is a Band 4 Senior Contributor Career Track Role.

Using your knowledge of statistics, healthcare, and ML / AI you will build models to help identify opportunities for our pricing and underwriting partners. You will perform feature engineering, model development, and model monitoring / maintenance using a broad range of medical, prescription drug, utilization management, and third-party data. In this role you will work closely with leadership, data scientists, business stakeholders and engineering partners to deliver robust well-documented deliverables that will enhance our competitive position in the marketplace.

Responsibilities

• Contribute to the development of comprehensive analytics that facilitate best in class pricing and underwriting.
• Execute special projects that can improve Commercial Healthcare underwriting.
• Utilize data science and advanced analytics to create actionable insights and recommendations for business leaders to advance Cigna’s strategic objectives.
• Regularly communicate work with business stakeholders and senior leadership.
• Stay up to date on latest analytic tools and techniques and strategize how to leverage these tools to modernize our pricing/UW organizations.
• Ensure solutions drive long term value while also ensuring they can integrate with current processes.
• Test & Learn Pilots: collaborate with business leaders to design, launch and measure robust pilots to test new solutions.
• Develop models that foster underwriting and actuarial advancement by aligning business problems to a potential solution like GLMs, Machine Learning, Clustering, LLMs or other advanced techniques.

Qualifications

• 5+ years direct Data Science experience in a healthcare related environment.
• Strong background in stats, ML and model development.
• Experience deploying ML/predictive models to prod/cloud env't.
• Strong skills with Python, SQL, Git, Keras and TensorFlow.
• Knowledge of common health care data e.g., claims, EHR, laboratory data.
• Experience with best programming practices and writes clean, documented, and well-structured code.
• Ability to peer review.
• Champions a culture of documentation and logging.
• Ability to own a project end-to-end e.g., scoping, ideation, dev, prod.
• Ability to independently deliver clear and well developed presentations for both technical and business audiences.
• Ability to create DS-specific project goals associated within high level project deliverables.
• Ability to articulate timeline changes, rationale, and goals to meet deadlines moving forward.
• Prefer MS or PhD in STEM related fields.

Requirements

• 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.

Benefits

• Comprehensive range of benefits, with a focus on supporting your whole health.
• Health-related benefits including medical, vision, dental, and well-being and behavioral health programs starting on day one of your employment.
• 401(k) plan.
• Company paid life insurance.
• Tuition reimbursement.
• A minimum of 18 days of paid time off per year and paid holidays.