Data Scientist - Remote

Data Scientist - Remote

Join Mutual of Omaha Data Science team who bridges the gap between traditional statistical modeling and advanced AI orchestration. In this role, you will be partner with stakeholders serving as a key designer and builder of agentic AI systems that power analytical workflows or conversational interfaces. We are looking for a problem-solver who is as comfortable writing SQL queries as they are building autonomous agents that understand the full-stack journey.

 WHAT WE CAN OFFER YOU: 

• $100,000 to $140,000, eligible for annual bonus, as applicable.
• 401(k) plan with a 2% company contribution and 6% company match.
• Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
• Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

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 AI systems and agent behaviors. 

Perform Advanced Data Manipulation: Use SQL, Python, and R to extract and profile data from structured and unstructured sources, ensuring high-quality data inputs for both machine learning models and LLM agent contexts. 

Full-Stack Logic Integration: Apply a "full-stack" mindset to AI development. You will ensure a seamless flow of data between the backend, the AI agent, and the UI, while ensuring your code is architected for automated CI/CD pipelines and stable production environments. 

Build & Orchestrate AI Agents: Develop and refine autonomous AI agents using frameworks such as LangGraph to power intelligent chatbots, designing stateful, multi-step workflows that navigate complex business logic. 

Design AI Systems: Design AI solutions with a "production-first" logic. While others may handle the final deployment, you are responsible for ensuring your Python-based agents are modular, and secure, leverage AWS Cloud platform. 

Build for Observability: Develop evaluation frameworks and metrics to monitor the accuracy, reliability, and cost-effectiveness of AI agents and traditional statistical models.

R&D: Develop, experiment with, and refine autonomous AI agents using frameworks such as LangGraph, conducting iterative research and prototyping to evaluate new agent behaviors, orchestration patterns, and stateful workflows before scaling them into production-grade systems.

WHAT YOU’LL BRING:

The DS Core: A Graduate degree in an analytical field (Math, Stats, CS, BI etc.) and 2+ years of experience in an analytically driven role. 

Agentic Expertise: 2+ years of experience specifically building AI agents and designing complex systems that leverage LangGraph or similar orchestration frameworks. 

Full-Stack Awareness: A strong understanding of the full-stack lifecycle, including how data travels from backend databases through the application logic to a conversational UI. 

Language Proficiency: Strong command of Python and SQL (required), with familiarity in R or other statistical languages. 

AWS Cloud Fluency: Hands-on experience building applications within the AWS LLM ecosystem (Bedrock, SageMaker) and a functional understanding of working within an AWS Lambda environment.  

Statistical Rigor: A strong background in machine learning and statistical analysis, with the ability to validate agent outputs against business benchmarks.

Production Perspective: Experience designing solutions with a "production-grade" mindset—understanding the requirements for reliability, security, and scalability.

PREFERRED:

Experience with AWS Bedrock Agents and action group integration. 

Demonstrated ability to navigate under-defined problems and deliver robust solutions in fast-moving environments.

Working knowledge of generative AI orchestration frameworks, retrieval-augmented generation (RAG) architectures, and enterprise AI deployment pipelines.  

We value diverse experiences, skills, and a passion for innovation. If your background aligns with this opportunity, we encourage you to apply. 

If you have questions about your application or the hiring process, please email careers@mutualofomaha.com. Please allow at least one week after applying before requesting a status update. 

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