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:
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:
PhD in analytically driven fields such as artificial intelligence, mathematics, statistics, physics, economics, data science, computer engineering, computer science, operations research or actuarial science.
Strong foundation in statistical modeling, econometrics, predictive analytics, preferably advanced research or industry experience in Bayesian methods, causal inference, time series analysis, machine learning algorithms, Marketing Mix Models (MMM) and Customer Lifetime Value (CLTV).
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.
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#MutualOfOmaha
Founded in 1909, Mutual of Omaha is a highly-rated, Fortune 300 organization offering a variety of insurance and financial products for individuals, businesses and groups throughout the United States. As a mutual company, Mutual of Omaha is owned by its policyholders and committed to providing outstanding service to its customers. For more information about Mutual of Omaha, visit www.mutualofomaha.com.
Mission:
Our mission we help our customers protect what they care about and achieve their financial goals.
Vision:
For every customer a financial future imagined, planned, and secured.
Values:
1. We exist for our customers
2. We act with integrity
3. We are innovative
4. We are accountable for results
5. Together we achieve greatness.
Registered Representatives offer securities through Mutual of Omaha Investor Services, Inc., FINRA (www.finra.org)/ SIPC (www.sipc.org). Investment Advisor Representatives offer advisory services through Mutual of Omaha Investor Services, Inc. This is not an offer or solicitation in any jurisdiction where we are not authorized to do business.
Home Office Address: 3300 Mutual of Omaha Plaza, Omaha, NE 68175. The third-party comments displayed are not verified, may not be accurate and are not necessarily representative of our client experiences. Any links to third-party websites and resources are provided solely as a convenience to you and not as an endorsement of the content. We make no representations or warranties as to the accuracy, timeliness, suitability, completeness, or relevance of any information prepared by any unaffiliated third party. Insurance products and services are offered by Mutual of Omaha Insurance Company or one of its affiliates. Mutual of Omaha Insurance Company is licensed nationwide. Each underwriting company is responsible for its own contractual and financial obligations.
