Data Scientist II

Centene Corporation

. Perform advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes .

Posted 10/27/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $87,700 - $157,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced data analytics, predictive modeling, and machine learning within healthcare contexts, utilizing tools such as Python, SQL, SAS, and R. Capable of managing multiple projects while providing technical direction and oversight in data-driven environments.

Highest-signal resume keywords

Predictive ModelingMachine LearningData MiningStatistical ModelingHealthcare Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingMachine LearningStatistical ModelingData MiningData PreparationModel DevelopmentModel MonitoringData TransformationExploratory Data Analysis

Soft Skills

Project ManagementCommunicationTechnical Direction

Tools & Technologies

PythonSQLSASRDatabricksSnowflakeTeradataMLOps

Industry Keywords

HealthcarePayer AnalyticsPopulation Health AnalyticsBig DataData Governance

Tech Stack

Tools & technologies

CloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

Perform advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes
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 appropriately
Conduct exploratory data analysis from complex data sources and build key data sets supporting 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
Present and communicate analysis results and findings
Participate in designing automated, operational analytics processes for scale and durability
Validate and measure health management program outcomes using SAS, R, and other tools, including provider, claims, and membership data
Manage multiple assigned projects
Assist with training Data Analysts

Requirements

What you’ll need

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or Experimental Science with 3+ years of experience, or Bachelor’s degree with 5+ years of quantitative analysis experience
Experience in data mining, predictive modeling, machine learning, statistical modeling, large-scale data acquisition, transformation, and structured and unstructured data analysis
Experience with database technologies, including Teradata and Snowflake
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 is highly preferred
Experience using SAS and R
Knowledge of structured and unstructured data analysis
Ability to manage multiple projects
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

Benefits

Comp & perks

Competitive pay
Health insurance
401K plan
Stock purchase plans
Tuition reimbursement
Paid time off plus holidays
Flexible approach to work with remote, hybrid, field or office work schedules
Additional forms of incentives may be included in total compensation