At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Company: Oak Street Health
Title: Lead Data Scientist
Location: Chicago, IL / Remote
Company Description
Oak Street Health is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street's care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients' health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit http://www.oakstreethealth.com .
Role Description
Oak Street Health is looking for a lead data scientist to join our care and risk modeling team. This team is responsible for delivering high quality modern data solutions through collaboration with engineers, analysts, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how Healthcare is provided. As a lead data scientist you will be responsible for guiding a team of data scientists and analysts in developing and refining heavily utilized models such as DataIQ (link (https://catalyst.nejm.org/doi/full/10.1056/CAT.21.0008) ). In this position, you will be responsible for taking on new initiatives associated with enhancements, expansion, maintenance and scaling. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you and your team from inception through production.
Responsibilities
Lead our care and risk modeling team through design, development, and deployment of new functionalities
Function as a thought partner for business stakeholders to determine impactful applications of statistical analysis and machine learning
Iterate with clinical and population health partners to tailor models and tools to address program requirements
Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashion
Work closely with other development teams to create the platform vision and evolve the product roadmap
Develop and mentor a team of junior data scientists
Demonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitude
Required Qualifications
Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
7+ years of relevant data science or analytics experience.
1+ years of technical mentoring experience.
Experience using SQL and Python in a cloud (GCP, Azure, AWS) to solve analytical problems.
Experience solving analytics problems in the healthcare domain using clinical data.
Experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders.
Preferred Qualifications
Master's degree preferred in a related field
Experience with model productionalization lifecycle (Assessment, Deployment, Monitoring, Retraining).
Extensive experience with SQL-based relational databases.
Understanding of the use and misuse of statistics for causal inference.
Excellent problem-solving and analytical skills.
Understanding of the use and misuse of statistics for causal inference.
Someone who embodies being "Oaky".
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 11/05/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
