Data Scientist – AI Systems

Company: Mutual of Omaha

Location: Remote (Remote)

Salary: $99,000 - $130,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-06-12

About this role

Location: Remote
Work Type: Full Time Regular
Job No: 504917
Categories: Information Technology
Application Closes: Open Until Filled

2026-06-11

Data Scientist – AI Systems

This role focuses on designing, building, and supporting the deployment of AI-powered systems that solve business problems from intelligent agents and conversational interfaces to analytical workflows with a production-first mindset.

What We Offer:

- Salary: Data Scientist: $110,000–$130,000, plus annual bonus eligibility.
- Associate Data Scientist: $99,000 - $115,000, plus annual bonus opportunity.
- Retirement: 401(k) with 2% company contribution and up to 6% match
- Time Off: Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
- Eligibility: Sponsorship is available for this position.

What You'll Do:

  • Stakeholder Translation & Technical Spec Design: Partner closely with business stakeholders to extract core needs and translate them into rigorous technical specifications for GenAI-powered systems and their behaviors.
  • Build & Orchestrate GenAI-Powered Systems: Design, develop, and refine GenAI-powered systems including AI agents, conversational interfaces, and intelligent analytical workflows. Leverage frameworks such as LangGraph and Strands where appropriate, designing stateful, multi-step workflows that navigate complex business logic. Evaluate trade-offs between architectures based on the problem at hand.
  • Design for Production: Design GenAI solutions with a "production-first" mindset, ensuring Python-based systems are modular, secure, observable, and leverage AWS Cloud platform services. You write production-grade code that follows strict software development standards.
  • Full-Stack Logic Integration: Ensure seamless flow of data between the backend, the GenAI system, and the UI by collaborating with cloud engineers, data engineers, and UI/UX developers as needed ...

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