Lead IT Data Scientist

Overview

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 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 apply findings to enable business decisions by deriving insights through data visualization
• Writing 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 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 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
• Leads 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

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.

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 the level of this position. 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. Experience using Data Bricks platform preferred.

• One or more of the following skills are desired.
• Experience with SQL (Programming Language)
• Experience with Machine Learning;
  Machine Learning Algorithms;
  Statistics
• Experience with Python…