Job description

At CVS Health, we are committed to creating a world of health around every consumer, supported by a passionate team dedicated to transforming healthcare. As the nation's leading health solutions company, we reach millions of people through our local presence, digital channels, and over 300,000 purpose-driven colleagues who provide compassionate care. Company: Oak Street Health Role Overview: Join Oak Street Health, a rapidly growing network of primary care centers for Medicare adults in underserved communities. We value patient care over service volume and focus on improving health outcomes, investing more time and taking accountability for our patients' health. We are looking for a Lead Data Scientist to enhance our care and risk modeling team. You will play a crucial role in delivering innovative data solutions by collaborating with engineers, analysts, and product teams in a dynamic, agile environment. Key Responsibilities: • Lead the design, development, and implementation of new functionalities for our care and risk modeling initiatives. • Serve as a thought partner to business stakeholders, identifying impactful applications of statistical analysis and machine learning. • Work closely with clinical and population health partners to customize models and tools that meet program requirements. • Manage large structured and unstructured datasets, ensuring repeatable and scalable analysis. • Collaborate with development teams to define the product vision and enhance the product roadmap. • Mentor and develop junior data scientists, fostering their growth and skill enhancement. • Exhibit strong communication skills and maintain a positive, solution-focused approach. Required Qualifications: • Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related field. • At least 7 years of relevant data science or analytics experience. • A minimum of 1 year of experience in mentoring technical teams. • Proficiency in SQL and Python in cloud environments (GCP, Azure, AWS) for analytical problem-solving. • Experience working with clinical data and solving analytics problems in the healthcare domain. • Proven track record of leading analytics projects from concept to delivery across diverse stakeholders. Preferred Qualifications: • Master's degree in a related field. • Experience with the model production lifecycle, including assessment, deployment, monitoring, and retraining. • Extensive experience with SQL-based relational databases. • Strong analytical and problem-solving capabilities. Work Location: This position is based in Chicago, IL but offers remote work flexibility. Compensation: The typical pay range for this role is $106,605.00 - $284,280.00, contingent on various factors including experience and location. Additionally, this role is eligible for bonuses and equity opportunities. We offer a competitive mix of pay and benefits, investing in the wellness of our colleagues and their families. Our benefits include affordable medical plans, a 401(k) plan with matching contributions, an employee stock purchase plan, and various no-cost wellness programs. If you are passionate about using your data science expertise to transform healthcare delivery, we encourage you to apply and become part of our mission to improve the health and wellbeing of our communities.

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