Senior Data Scientist, IT

Centene Corporation

Designs and develops AI/machine learning models to improve health outcomes for Centene's 28 million members. Engages with stakeholders to gather requirements and deliver impactful solutions.

Posted 6/19/2026full-timeRemote • Florida, Montana, New York, Pennsylvania, Virginia • 🇺🇸 United StatesSenior💰 $102,900 - $190,500 per yearWebsite

Tech Stack

Tools & technologies

DockerKubernetesPythonSQL

About the role

Key responsibilities & impact

Designs and develops scalable solutions using AI tools and machine-learning models.
Performs research and testing to develop machine learning algorithms and predictive models.
Utilizes big data computation and storage tools to create prototypes and datasets.
Conducts model training and evaluation.
Integrates, tests, tunes, and monitors solutions.
Participates in model brainstorming conversations with new potential internal customers interested in AI/ML capabilities.
Works alongside internal customers that are requesting AI/ML capabilities to understand overall business objective & impact.
Analyzes use cases of ML algorithms and apply findings to enable business decisions.
Writing moderately complex SQL and Python/R code to extract data from various databases and data sources.
Explores and visualizes data to gain an understanding and verify data quality.
Conduct exploratory data analysis from complex data sources and build key data sets to support operational analysis.
Builds ML/AI models using common methods within R and Python.
Analyzes ML algorithms that could solve a problem and ranks them by success probability.
Analyzes errors of the model and designs strategies to overcome them.
Develop logging, alerting, and mitigation strategies for handling model errors.
Develop AI/ML models to distinguish relevant content or events and recognize patterns.
Designs and develops AI/ML models to predict member outcomes.
Evaluate and design experiments to monitor key model metrics and identify improvement opportunities.
Participate in presentations and communicate research analysis results to non-technical business partners.
Produces fairness review for each model to ensure it's free of bias.
Set up CI/CD pipelines used for model automation.
Model deployment with containers such as Kubernetes and Docker.
Produces clean & readable code that has been properly unit tested and optimized.

Requirements

What you’ll need

A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
Requires 4 – 6 years of related experience.
4+ years Intermediate knowledge & experience with SQL required.
4+ years Experience in developing Machine Learning/AI/Predictive models in R or Python required.
4+ years Intermediate knowledge of Git required.
Experience using Databricks Platform.

Benefits

Comp & perks

competitive pay
health insurance
401K and stock purchase plans
tuition reimbursement
paid time off plus holidays
flexible approach to work with remote, hybrid, field or office work schedules

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningpredictive modelsbig data computationSQLPythonRdata analysismodel trainingmodel evaluationAI tools

Soft Skills

communicationcollaborationproblem-solvinganalytical thinkingpresentation skills