Lead Data Scientist - Healthcare Delivery

  • Posted 8 hours ago | Updated 8 hours ago

Overview

Remote
USD 106,605.00 per year
Full Time

Skills

Medicare
Accountability
Collaboration
Agile
Modeling
Machine Learning (ML)
Roadmaps
Communication
Mathematics
Computer Science
Business Analytics
Economics
Physics
Data Science
Mentorship
Python
Cloud Computing
Google Cloud
Google Cloud Platform
Microsoft Azure
Amazon Web Services
Health Care
Analytics
SQL
Relational Databases
Conflict Resolution
Problem Solving
Analytical Skill
Statistics
Management
Finance
Coaching

Job Details

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 ;br>
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). 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 (Google Cloud Platform, 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 ;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.