Senior Data Scientist - Risk Prediction & AI Modeling

CVS Health; New York (NY); Hybrid; USD 111,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a healthcare data scientist to build risk prediction models and apply ML techniques to deliver insights for CVS Health and Aetna. You will work with large datasets, collaborate with stakeholders, and apply AI to improve decision making.

The role emphasizes hands-on coding in SQL, Python, Spark, and cloud platforms (AWS, GCP, Azure), with a focus on evaluating models and accelerating workflows using AI tools.

Qualifications

• Bachelor’s degree in a related quantitative field and strong analytical skills.
• 3+ years of professional experience in data analytics, BI, data engineering or applied data science.
• 3+ years of experience with SQL and Python/R.

Responsibilities

• Develop predictive models and analytic approaches to evaluate scenarios and outcomes.
• Analyze structured and unstructured data to solve business problems using advanced statistics.
• Collaborate with partners to develop predictive modeling, data reports and metrics.
• Present analytics results and solutions to stakeholders.
• Investigate problems, detect patterns and recommend solutions using algorithms.

Skills

SQL

Python

Spark

Cloud computing

AI tools

Large language models

Education

Bachelor's degree in Mathematics, Statistics, CS, BA, Economics, Physics, Engineering

Master's or PhD degree (preferred)

Tools

SQL

Python

Spark

AWS

GCP

Azure

Job description

CVS Health is seeking a healthcare data scientist to build risk prediction models and apply ML techniques to deliver insights for CVS Health and Aetna. You will work with large datasets, collaborate with stakeholders, and apply AI to improve decision making.

The role emphasizes hands-on coding in SQL, Python, Spark, and cloud platforms (AWS, GCP, Azure), with a focus on evaluating models and accelerating workflows using AI tools.