[Remote] Senior IT Data Scientist

Note: The job is a remote job and is open to candidates in USA. Centene Corporation is a diversified national organization seeking a Senior IT Data Scientist to improve health outcomes using technology. The role involves designing scalable AI and machine learning solutions, conducting research, and working with internal customers to derive insights from data for business decisions.

Responsibilities

• 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

Skills

• A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
• 4 – 6 years of related experience
• 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
• 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
• 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

Benefits

• Competitive pay
• Health insurance
• 401K and stock purchase plans
• Tuition reimbursement
• Paid time off plus holidays
• 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

Company Overview

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