Lead Data Scientist - Healthcare Delivery

Hispanic Alliance for Career Enhancement; Des Moines (IA); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading healthcare company seeks a Lead Data Scientist to join their care and risk modeling team. This role involves guiding a team in developing data solutions, collaborating with stakeholders, and mentoring junior scientists. The position offers high visibility and impact in a fast-paced environment focused on transforming healthcare delivery.

Qualifications

• 7+ years of relevant data science or analytics experience.
• 1+ years of technical mentoring experience.

Responsibilities

• Lead the care and risk modeling team through design, development, and deployment.
• Collaborate with business stakeholders for statistical analysis applications.
• Develop and mentor junior data scientists.

Skills

SQL

Python

Problem-solving

Analytical skills

Education

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

Tools

GCP

Azure

AWS

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 new model focused on value for patients, not volume of services. The company is accountable for its patients' health, spending more than twice as long with them and taking on the risks and costs of their care. For more information, visit http://www.oakstreethealth.com.

Role Description

Oak Street Health seeks a lead data scientist for our care and risk modeling team. This team delivers high-quality data solutions through collaboration 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 heavily utilized models such as DataIQ. You will be responsible for new initiatives related to enhancements, expansion, maintenance, and scaling, making an immediate impact by expanding our data science capabilities across our care model. This role offers high growth, visibility, impact, and leadership in project inception through production.

Responsibilities

• Lead the care and risk modeling team through design, development, and deployment of new functionalities.
• Collaborate with business stakeholders to determine impactful applications of statistical analysis and machine learning.
• Work with clinical and population health partners to tailor models and tools to address program requirements.
• Analyze large structured and unstructured datasets in a repeatable fashion.
• Work 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 related field.
• 7+ years of relevant data science or analytics experience.
• 1+ years of technical mentoring experience.
• Proficiency in SQL and Python in cloud environments (GCP, Azure, AWS).
• Experience with healthcare clinical data analytics.
• Experience leading analytics projects from concept to delivery across 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.
• Problem-solving and analytical skills.
• Embodies the