Data Scientist II

Centene Corporation•Remote-IL, IL

20h•$87,700 - $157,800

About The Position

Responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes. The role analyzes structured and unstructured data and develops algorithms to address targeted business needs. It includes building predictive models and machine learning solutions, supporting scalable data pipelines and production-ready workflows, and providing technical oversight across model development, validation, monitoring, and governance. The Data Scientist II also develops analysis tools, conducts exploratory data analysis, evaluates experiments and metrics, builds statistical models, communicates findings, and helps automate operational analytics processes. The position validates outcomes of health management programs using provider, claims, and membership data, manages assigned projects, and assists with training Data Analysts.

Requirements

Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or Experimental Science and 3 or more years of experience; or a bachelor’s degree and 5 or more years of quantitative analysis experience.
Experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large-scale data acquisition and transformation, and structured and unstructured data analysis.
Experience with database technologies, including Teradata and Snowflake.
Must be authorized to work in the U.S. without current or future employment-based visa sponsorship.

Nice To Haves

Proficiency in Python, SQL, and modern machine learning frameworks.
Hands-on experience with Databricks and Snowflake for data preparation, model development, and deployment.
Familiarity with MLOps practices, model monitoring, and cloud-based analytics environments.
Experience providing technical direction to Data Scientists and Analytics Engineers.
Healthcare, payer, or population health analytics experience.

Responsibilities

Design, develop, and deploy predictive models and machine learning solutions using structured and unstructured data.
Partner with Analytics Engineers to build scalable data pipelines, machine learning workflows, and production-ready solutions.
Provide technical oversight for model development, validation, monitoring, and governance.
Design and construct analysis tools that extract and analyze data and store analytical results in an appropriate format for business needs.
Conduct exploratory data analysis from complex data sources and build key data sets to support Centene’s mission.
Evaluate and design experiments to monitor key metrics and identify improvement opportunities.
Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns.
Participate in presentations and communicate analysis results and findings.
Participate in designing automated, operational analytics processes to achieve scale and durability.
Validate and measure the outcomes of health management programs using SAS, R, and other tools, including provider, claims, and membership data.
Manage multiple projects as assigned.
Assist with training Data Analysts.