Job Title: Data Scientist - Remote

Company Name: Mutual of Omaha

Job Details: $100k-$130k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/s9ip2278ai8ynbbe

Job Description: Posted 5d agoData Scientist - Remote@ Mutual of OmahaView All JobsWebsiteUnited States$100k-$130k/yrRemoteFull TimeResponsibilities:partner stakeholders, build models, deploy AIRequirements Summary:1+ year analytics experience; strong Python/SQL; dbt; Snowflake; AI/agent experience; graduate degree.Technical Tools Mentioned:Python, SQL, dbt, Snowflake, AWS, Bedrock, SageMaker, Lambda
Join Mutual of Omaha’s Data Science team and help bridge traditional analytics with modern, agentic AI solutions. This is an applied, hybrid data science role that combines analytical rigor, analytics engineering, and hands on exposure to modern AI systems. In this role, you will partner with business stakeholders to develop and deploy AI driven models and analytical solutions focused on detecting fraud, promoting sales growth, and reducing operational costs, with an emphasis on scalable, production ready implementations. We’re looking for a hands on data scientist who is comfortable working across SQL, Python, dbt, and Snowflake, and who has experience building AI driven models, chatbots, and agent based solutions to power conversational analytics and automated decisioning.



Data Scientist – Remote
Join Mutual of Omaha’s Data Science team and help bridge traditional analytics with modern, agentic AI solutions. This is an applied, hybrid data science role that combines analytical rigor, analytics engineering, and hands‑on exposure to modern AI systems.
In this role, you will partner with business stakeholders to develop and deploy AI‑driven models and analytical solutions focused on detecting fraud, promoting sales growth, and reducing operational costs, with an emphasis on scalable, production‑ready implementations.
We’re looking for a hands‑on data scientist who is comfortable working across SQL, Python, dbt, and Snowflake, and who has experience building AI‑driven models, chatbots, and agent‑based solutions to power conversational analytics and automated decisioning.

What We Offer

Salary: $100,000–$130,000, plus annual bonus eligibility
Retirement: 401(k) with 2% company contribution and up to 6% match
Time Off: Vacation, personal time, and paid holidays
Work Arrangement: Possible 100% remote
Eligibility: Must not require employment sponsorship now or in the future


What You’ll Do

Partner with business stakeholders to translate analytical and operational needs into clear technical and AI system requirements
Build and support AI‑enabled analytical workflows using Python and SQL
Extract, transform, and analyze data using Snowflake and dbt
Design modular, production‑ready AI solutions leveraging AWS services (e.g., Bedrock, SageMaker, Lambda), in partnership with platform and engineering teams
Apply a full‑stack analytics and AI mindset to ensure smooth data flow from backend data sources through AI logic to user‑facing interfaces
Develop evaluation metrics and monitoring frameworks to assess accuracy, reliability, performance, and cost of AI and analytical models
Research, prototype, and refine agentic AI solutions using orchestration frameworks such as LangGraph before scaling them into production workflows


What You’ll Bring (Required)

Graduate degree in an analytical field (e.g., Math, Statistics, Computer Science, Analytics)
1+ years of experience in an analytically driven role
Strong proficiency in Python and SQL
Working knowledge of dbt for analytics engineering and data transformation
Hands‑on experience with Snowflake in large‑scale analytical environments
Experience contributing to or working with AI agents, such as LLM‑based workflows, tool‑calling, or orchestrated prompt pipelines
Understanding of production‑grade analytics and AI solutions, including reliability, security, and scalability


Preferred

Familiarity with insurance data, including exposure to claims, policy, or actuarial datasets
Experience with AWS Bedrock Agents and action group integration
Familiarity with generative AI patterns such as RAG and enterprise AI deployment pipelines
Ability to navigate ambiguity and deliver solutions in fast‑moving environments


We value diverse backgrounds, strong problem‑solving skills, and a passion for innovation. If this role aligns with your experience and interests, we encourage you to apply.
We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 
If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.
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