You 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.

Position Purpose: Designs and develops of 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 when requesting an AI/ML model
Analyzes use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization
Writing moderately 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
Conduct exploratory data analysis from complex data sources and build key data sets to support company mission operational analysis.
Builds ML/AI models using common methods within R and Python
Analyzes the ML algorithms that could be used to solve a given problem and rank them by their success probability
Analyzes errors of the model and design strategies to overcome errors
Develop logging, alerting, and mitigation strategies for handling model errors
Development of 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
Evaluate and design experiments to monitor key model metrics and identify improvement opportunities
Participate in presentations and communicate results of research analysis and findings to non-technical business partners
Produces fairness review for each developed model, to ensure model is free of bias
Set up continuous integration/continuous deployment (CI/CD) pipelines used for model automation
Model deployment with containers such as Kubernetes and/or Docker
Produce 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
Assists in leading team-wide initiatives that help develop templates and define best practices to improve model building and deployment workflow (ex. Model drift detection)
Performs other duties as assigned
Complies with all policies and standards

Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and Requires 4 – 6 years of related experience.
Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.
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 .

Technical Skills:

One or more of the following skills are desired:
Experience with SQL (Programming Language)
Experience with Machine Learning; Machine Learning Algorithms; Statistics
Knowledge of Python (Programming Language); R (Programming Language)
Experience with 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

Pay Range:

Performs other duties as assigned

Complies with all policies and standards

Experience using Databricks Platform .

Technical Skills:

Soft Skills:

Senior IT Data Scientist at name