Lead Data Scientist - Healthcare Delivery

Hispanic Alliance for Career Enhancement; Springfield (IL); Hybrid; USD 106,000 - 285,000; Full time

Job summary

An established industry player is seeking a Lead Data Scientist to join their innovative care and risk modeling team. This role involves leading the development of advanced data solutions that enhance healthcare delivery. You will collaborate with engineers and analysts to create impactful statistical models, mentor junior scientists, and drive analytics projects from concept to delivery. With a focus on patient health, this position offers the opportunity to make a significant impact in the healthcare sector while working in a dynamic and supportive environment. If you are passionate about data science and healthcare transformation, this is the perfect opportunity for you.

Benefits

Affordable medical plans

401(k) with matching

Stock purchase plans

Flexible work schedules

Paid time off

Family leave

Tuition assistance

No-cost wellness programs

Counseling services

Financial coaching

Qualifications

• 7+ years of relevant data science or analytics experience.
• 1+ years of technical mentoring experience.
• Experience with clinical data in healthcare analytics.

Responsibilities

• Lead the care and risk modeling team in designing and deploying new functionalities.
• Collaborate with stakeholders to identify impactful applications of analysis.
• Analyze large structured and unstructured datasets.

Skills

Statistical Analysis

Machine Learning

SQL

Python

Problem-Solving

Analytical Skills

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering

Master's degree in a related field

Tools

GCP

Azure

AWS

SQL-based relational databases

Job description

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 a value-driven model, focusing on patient health rather than volume of services. The company is accountable for its patients' health, spending more than twice as long with its patients and assuming the risks and costs of their care. For more information, visit http://www.oakstreethealth.com.

Role Description

Oak Street Health is seeking a lead data scientist to join our care and risk modeling team. This team delivers high-quality modern data solutions by collaborating with engineers, analysts, and product teams in a fast-paced, agile environment, leveraging cutting-edge technology to reimagine healthcare delivery. As a lead data scientist, you will guide a team in developing and refining models such as DataIQ, and lead initiatives related to enhancements, expansion, maintenance, and scaling. Your role will have a high impact on expanding our data science capabilities across our care model, with many decisions driven by you and your team from inception to production.

Responsibilities

• Lead the care and risk modeling team in designing, developing, and deploying new functionalities.
• Collaborate with business stakeholders to identify impactful applications of statistical analysis and machine learning.
• Work with clinical and population health partners to tailor models to program requirements.
• Analyze large structured and unstructured datasets in a repeatable manner.
• Coordinate with other development teams to shape platform vision and product roadmap.
• Develop and mentor junior data scientists.
• Communicate effectively (both written and verbal) and maintain a positive, solution-oriented attitude.

Required Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.
• 7+ years of relevant data science or analytics experience.
• 1+ years of technical mentoring experience.
• Experience with SQL and Python in a cloud environment (GCP, Azure, AWS).
• Experience working with clinical data in healthcare analytics.
• Proven track record of leading analytics projects from concept to delivery, coordinating diverse stakeholders.

Preferred Qualifications

• Master's degree in a related field.
• Experience with model production lifecycle (Assessment, Deployment, Monitoring, Retraining).
• Extensive experience with SQL-based relational databases.
• Understanding of causal inference in statistics.
• Strong problem-solving and analytical skills.
• Embodies the values of being "Oaky".

Pay Range

The typical pay range for this role is $106,605.00 - $284,280.00. Actual offers depend on experience, education, location, and other factors. This role is eligible for bonuses, commissions, and equity awards.

Benefits

Our colleagues' wellness is a priority. Benefits include:

• Affordable medical plans, 401(k) with matching, and stock purchase plans.
• No-cost wellness programs, counseling, and financial coaching.
• Flexible work schedules, paid time off, family leave, tuition assistance, and more.

For more information, visit https://jobs.cvshealth.com/us/en/benefits. The application deadline is 11/05/2025. Qualified applicants with arrest or conviction records will be considered in accordance with laws.