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Centene Corporation

Senior IT Data Scientist

Posted Yesterday
In-Office or Remote
Hiring Remotely in FL, USA
103K-191K Annually
Senior level
In-Office or Remote
Hiring Remotely in FL, USA
103K-191K Annually
Senior level
Design, develop, train, evaluate, deploy, and monitor scalable AI/ML models using Python or R and big-data tools. Perform data exploration, EDA, feature engineering, model evaluation, fairness reviews, CI/CD pipeline setup, containerized deployments (Kubernetes/Docker), logging/alerting, and communicate results to non-technical stakeholders.
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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: $102,900.00 - $190,500.00 per year

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and 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

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