Data Scientist I

Centene Corporation

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

Posted 10/7/2026full-timeRemote • Maryland • United StatesJunior💰 $70,100 - $126,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced data analytics, predictive modeling, and statistical analysis to drive healthcare innovation. Proficient in programming languages such as R and Python, with experience in data visualization and database technologies.

Highest-signal resume keywords

Predictive ModelingData MiningStatistical ModelingR ProgrammingPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningExploratory Data AnalysisData VisualizationMathematical ModelingAlgorithm DevelopmentData TransformationStructured Data AnalysisUnstructured Data AnalysisQuantitative Analysis

Soft Skills

CommunicationPresentation Skills

Tools & Technologies

R StudioDatabricksSnowflakeSQL

Industry Keywords

Healthcare InnovationBig DataData ScienceOperational AnalysisData Models

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Perform advanced and predictive data analytics using big data and data science technology for healthcare innovation
Analyze structured and unstructured data sets
Develop algorithms for targeted business needs
Design and develop data models to predict member outcomes or future impact of key member decisions
Design and construct analysis tools to extract and analyze data and store analytical results appropriately
Conduct exploratory data analysis from complex data sources and build key data sets for operational analysis
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 research analysis and findings
Participate in the design of automated, operational analytics processes to achieve scale and durability

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 1+ years of experience
Bachelor’s degree with 3+ years of quantitative analysis experience
Experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis
Experience with database technologies
Programming in R, Python, and SQL
Experience with R Studio
Familiarity with and ability to use Databricks volumes/delta tables and notebooks
Familiarity with and ability to use Snowflake
Experience with predictive modeling, exploratory data analysis, and data visualization

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