Data Scientist - Clinical Risk Modeling

, 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://https://www.oakstreethealth.com.

Role Description

Oak Street Health is looking for an 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. In this position, you will be responsible for taking on new initiatives associated with enhancements, expansion, maintenance and scaling in data science. 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 from inception through production.

Core Responsibilities:

• Leverage Oak Street's best-in-class data warehouse to build new predictive models focused on improving the care model and patient outcomes.

• Achieve best in class model accuracy through a collaborative approach to feature engineering.

• Explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches.

• Build dashboards and data visualizations to effectively communicate analysis results and support decision making processes with stakeholders.

• Collaborate closely with clinical and business owners to integrate predictive applications across the organization.

• Other duties as assigned.

Required Qualifications

• Bachelor's degree and 1+ years of relevant analytics experience.
• Experience using SQL and Python in a cloud (GCP, Azure, AWS) to solve analytical problems.
• Experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.

Preferred Qualifications

• Experience applying data science techniques such as predictive modeling, clustering, forecasting, etc. to solve organizational healthcare tasks.
• Excellent command of data science libraries in Python or R.
• Strong written and verbal communication skills, including the ability to present complex ideas to various audiences.
• Excellent problem-solving and analytical skills.
• An ability to independently pursue and implement solutions to complex problems.
• Outstanding attention to detail.
• Someone who embodies being "Oaky"

What does being "Oaky" look like?

• Radiating positive energy
• Assuming good intentions
• Creating an unmatched patient experience
• Driving clinical excellence
• Taking ownership and delivering results
• Being scrappy

Anticipated Weekly Hours
40Time Type
Full timePay Range

The typical pay range for this role is:$64,890.00 - $173,040.00This 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.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 peopleWe 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/benefitsWe anticipate the application window for this opening will close on: 10/31/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.