AI/Data Scientist IV

Responsibilities

• Develop and tune generative/agentic AI solutions aimed to solve highly complex problems within the delivery of healthcare or health plan services
• Establish comprehensive tracking of experiments to manage the iterative process of building and testing models
• Provide statistical rigor to these evaluations via the design of controlled tests to measure the impact of changes to the solution
• Form and leverage strong collaborations with AI engineers to scale solutions for production grade performance
• Develop and implement complex agentic workflows that utilize AI agents for autonomous task execution,
• enhancing operational efficiency and decision-making capabilities
• Solve new business problems by reaching, designing, building,
• and validating complex or novel machine learning models;
• Conduct feature engineering and model optimization;
• Manage the complete lifecycle of machine learning models from conception
• to deployment while following SDLC and responsible AI practices;
• Consult with senior and executive level business leaders to scope,model,and recommend AI/ML technical,or analytic solutions

Full Description

Job Description

This is a telecommuter position, working from home.

• Develop and tune generative/agentic AI solutions aimed to solve highly complex problems within the delivery of healthcare or health plan services.

Establish comprehensive tracking of experiments to manage the iterative process of building and testing models

Provide statistical rigor to these evaluations via the design of controlled tests to measure the impact of changes to the solution.

Form and leverage strong collaborations with AI engineers to scale solutions for production grade performance.

• Develop and implement complex agentic workflows that utilize AI agents for autonomous task execution,

enhancing operational efficiency and decision-making capabilities.

• Solve new business problems by reaching, designing, building,

and validating complex or novel machine learning models;

Conduct feature engineering and model optimization;

Manage the complete lifecycle of machine learning models from conception

to deployment while following SDLC and responsible AI practices;

• Consult with senior and executive level business leaders to scope,model,and recommend AI/ML technical,or analytic solutions

T,<

,h4>