Centene Corporation
We could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility.
Pay Range $119,100.00 per year – $220,500.00 per year
Position Purpose 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.
Leads model brainstorming conversations with new potential internal customers interested in AI/ML capabilities
Leads the design, development, and research around complex AI/ML models to apply appropriate datasets for data modeling and statistical analysis
Works alongside internal customers that are requesting AI/ML capabilities to understand overall business objective & impact when requesting an AI/ML model
Analyzes use cases of ML algorithms and applies findings to enable business decisions by deriving insights through data visualization
Writes complex SQL and Python/R code to extract data from a variety of databases and data sources
Explores and visualizes data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning
Conducts exploratory data analysis from complex data sources and builds key datasets to support company mission operational analysis
Builds complex ML/AI models using common methods within R and Python
Analyzes the ML algorithms that could be used to solve a given problem and ranks them by their success probability
Analyzes model errors and designs strategies to overcome errors
Develops logging, alerting, and mitigation strategies for handling model errors
Develops AI/ML models to distinguish relevant content or events and recognize patterns
Designs and develops AI/ML models to predict member outcomes or future impact of key member decisions
Evaluates and designs experiments to monitor key model metrics and identify improvement opportunities
Participates in presentations and communicates results of research analysis and findings to non-technical business partners
Produces fairness reviews for each developed model to ensure the model is free of bias
Sets up continuous integration/continuous deployment (CI/CD) pipelines for model automation
Deploys models with containers such as Kubernetes and/or Docker
Produces clean & readable code that has been properly unit tested and optimized for performance
Completes proper deployment integration testing to ensure seamless deployment
Maintains and supports AI/ML patterns by reviewing and solving issues and running ML/AI models
Leads team-wide initiatives that help develop templates and define best practices to improve model building and deployment workflow (e.g., model drift detection)
Performs other duties as assigned
Complies with all policies and standards
Work Authorization Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H‑1B, L‑1, O‑1, H‑1B1, F‑1, J‑1, OPT, or CPT.
Education and Experience A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 5–7 years of related experience, or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope, and skill reflective of this level.
5+ years intermediate knowledge & experience with SQL required.
5+ years experience in developing machine learning/AI/predictive models in R or Python required.
5+ years intermediate knowledge of Git required.
Technical Skills Experience using Databricks platform preferred.
Experience with SQL (Programming Language)
Experience with machine learning, machine learning algorithms, statistics
Experience with Python (Programming Language), R (Programming Language)
Knowledge of continuous integration, software engineering
Soft Skills
Intermediate – Seeks to acquire knowledge in area of specialty
Intermediate – Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
Intermediate – Ability to work independently
Intermediate – Demonstrated analytical skills
Intermediate – Demonstrated project management skills
Intermediate – Demonstrates a high level of accuracy, even under pressure
Intermediate – Demonstrates excellent judgment and decision‑making skills
Intermediate – Ability to communicate and make recommendations to upper management
Intermediate – Ability to drive multiple projects to successful completion
Intermediate – Possesses technical aptitude
Centene offers a comprehensive benefits package including competitive pay, health insurance, 401(k), stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full‑time or part‑time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act.
Seniority level: Not Applicable
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Hospitals and Health Care, Insurance
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Pay Range $119,100.00 per year – $220,500.00 per year
Position Purpose 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.
Leads model brainstorming conversations with new potential internal customers interested in AI/ML capabilities
Leads the design, development, and research around complex AI/ML models to apply appropriate datasets for data modeling and statistical analysis
Works alongside internal customers that are requesting AI/ML capabilities to understand overall business objective & impact when requesting an AI/ML model
Analyzes use cases of ML algorithms and applies findings to enable business decisions by deriving insights through data visualization
Writes complex SQL and Python/R code to extract data from a variety of databases and data sources
Explores and visualizes data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning
Conducts exploratory data analysis from complex data sources and builds key datasets to support company mission operational analysis
Builds complex ML/AI models using common methods within R and Python
Analyzes the ML algorithms that could be used to solve a given problem and ranks them by their success probability
Analyzes model errors and designs strategies to overcome errors
Develops logging, alerting, and mitigation strategies for handling model errors
Develops AI/ML models to distinguish relevant content or events and recognize patterns
Designs and develops AI/ML models to predict member outcomes or future impact of key member decisions
Evaluates and designs experiments to monitor key model metrics and identify improvement opportunities
Participates in presentations and communicates results of research analysis and findings to non-technical business partners
Produces fairness reviews for each developed model to ensure the model is free of bias
Sets up continuous integration/continuous deployment (CI/CD) pipelines for model automation
Deploys models with containers such as Kubernetes and/or Docker
Produces clean & readable code that has been properly unit tested and optimized for performance
Completes proper deployment integration testing to ensure seamless deployment
Maintains and supports AI/ML patterns by reviewing and solving issues and running ML/AI models
Leads team-wide initiatives that help develop templates and define best practices to improve model building and deployment workflow (e.g., model drift detection)
Performs other duties as assigned
Complies with all policies and standards
Work Authorization Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H‑1B, L‑1, O‑1, H‑1B1, F‑1, J‑1, OPT, or CPT.
Education and Experience A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 5–7 years of related experience, or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope, and skill reflective of this level.
5+ years intermediate knowledge & experience with SQL required.
5+ years experience in developing machine learning/AI/predictive models in R or Python required.
5+ years intermediate knowledge of Git required.
Technical Skills Experience using Databricks platform preferred.
Experience with SQL (Programming Language)
Experience with machine learning, machine learning algorithms, statistics
Experience with Python (Programming Language), R (Programming Language)
Knowledge of continuous integration, software engineering
Soft Skills
Intermediate – Seeks to acquire knowledge in area of specialty
Intermediate – Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
Intermediate – Ability to work independently
Intermediate – Demonstrated analytical skills
Intermediate – Demonstrated project management skills
Intermediate – Demonstrates a high level of accuracy, even under pressure
Intermediate – Demonstrates excellent judgment and decision‑making skills
Intermediate – Ability to communicate and make recommendations to upper management
Intermediate – Ability to drive multiple projects to successful completion
Intermediate – Possesses technical aptitude
Centene offers a comprehensive benefits package including competitive pay, health insurance, 401(k), stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full‑time or part‑time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act.
Seniority level: Not Applicable
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Hospitals and Health Care, Insurance
#J-18808-Ljbffr