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Principal Data Scientist - Omaha, NE.

Mutual of Omaha Insurance Company

Remote or Nebraska • Today

Full-time

USD 140,000.00 - 175,000.00 per year

Principal, Data Scientist

Walmart Inc.

Bellevue, Washington • Today

Full-time

USD 132,000.00 - 264,000.00 per year

(USA) Principal, Data Scientist

Walmart Inc.

Bellevue, Washington • Today

Full-time

USD 132,000.00 - 264,000.00 per year

principal data scientist, Supply Chain Forecasting & Optimization

Starbucks Coffee Company

Seattle, Washington • Today

Full-time

(USA) Distinguished, Data Scientist

Walmart Inc.

Bellevue, Washington • Today

Full-time

USD 156,000.00 - 312,000.00 per year

Staff, Data Scientist

Walmart Inc.

Bellevue, Washington • Today

Full-time

USD 132,000.00 - 264,000.00 per year

Distinguished, Data Scientist

Walmart Inc.

Bellevue, Washington • Today

Full-time

USD 156,000.00 - 312,000.00 per year

Job Details

Skills

Information Technology
Workflow
IaaS
Ideation
FOCUS
Resource Management
Optimization
Regulatory Compliance
Systems Design
Use Cases
Underwriting
Customer Service
Modeling
Scalability
Agile
Mentorship
Documentation
Computer Science
Mathematics
Shipping
Generative Artificial Intelligence (AI)
Prompt Engineering
Orchestration
LangChain
Evaluation
Database
Vue.js
Python
TypeScript
Git
SQL
Continuous Integration
Continuous Delivery
Automated Testing
DevOps
Amazon Web Services
Amazon SageMaker
Amazon S3
Software Engineering
Design Patterns
Enterprise Software
Data Science
Machine Learning (ML)
Data Engineering
Artificial Intelligence
A/B Testing
Partnership
Clarity
Analytical Skill
Cloud Computing
Machine Learning Operations (ML Ops)
Algorithms
Training
Apache Spark
Collaboration
Innovation
SAFE
Recruiting

Information Technology
Workflow
IaaS
Ideation
FOCUS
Resource Management
Optimization
Regulatory Compliance
Systems Design
Use Cases
Underwriting
Customer Service
Modeling
Scalability
Agile
Mentorship
Documentation
Computer Science
Mathematics
Shipping
Generative Artificial Intelligence (AI)
Prompt Engineering
Orchestration
LangChain
Evaluation
Database
Vue.js
Python
TypeScript
Git
SQL
Continuous Integration
Continuous Delivery
Automated Testing
DevOps
Amazon Web Services
Amazon SageMaker
Amazon S3
Software Engineering
Design Patterns
Enterprise Software
Data Science
Machine Learning (ML)
Data Engineering
Artificial Intelligence
A/B Testing
Partnership
Clarity
Analytical Skill
Cloud Computing
Machine Learning Operations (ML Ops)
Algorithms
Training
Apache Spark
Collaboration
Innovation
SAFE
Recruiting

Summary

Principal Data Scientist - Omaha, NE.

Job no: 505317
Work type: Full Time Regular
Location: Nebraska, Remote
Categories: Information Technology

We're currently seeking a Principal Data Scientist specializing in Generative AI to lead the transformation of our business through the design, development, and deployment of cutting-edge, production-ready AI applications. You will architect and ship agentic AI systems that transform how our operational areas work, including applications that can reason over business context, take action through tools and integrations, and automate complex workflows end to end. This role calls for a hands-on builder with deep experience taking LLM applications from prototype to production, supported by strong full-stack engineering, MLOps, and cloud infrastructure skills. This position demands a proactive problem solver who thrives in ambiguity and can adapt swiftly to changing priorities, making a significant.

WHAT WE CAN OFFER YOU:

$140,000 to $175,000, 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:

Lead the design, development, and deployment of Generative AI applications by immersing yourself in the needs of operational areas. Build empathy for business challenges and apply engineering best practices to deliver innovative, robust, and reliable AI solutions.
Lead the design, development, and deployment of agentic Generative AI applications by immersing yourself in the needs of operational areas. Build empathy for business challenges and apply engineering best practices to deliver innovative, robust, and reliable AI solutions.
Drive the end-to-end lifecycle of AI/ML projects, from ideation and experimentation through production deployment. Use prompt engineering, data versioning, systematic experimentation, and A/B testing to optimize performance.
Develop and maintain secure, scalable infrastructure on AWS, with a focus on cloud resource management, cost optimization, and compliance. Prioritize security and fairness throughout the development and deployment process to protect our customers and uphold ethical standards.
Collaborate on systems design and integration, ensuring seamless interoperability between AI systems and both modern and legacy front-end/back-end platforms. Maintain CI/CD pipelines and automated testing frameworks to support continuous delivery and operational reliability.
Partner with business and technical stakeholders to identify high-impact use cases for generative AI in underwriting, customer service, claims, and risk modeling, ensuring alignment with strategic goals.
Implement and promote MLOps best practices, enabling reproducibility, scalability, and model governance throughout the development lifecycle.
Lead delivery using agile methodologies, incorporating continuous feedback and fostering a culture of experimentation and iterative improvement. Own your solutions from prototype through production.
Stay informed about emerging trends in Generative AI, cloud-native technologies, model governance, and responsible AI, and apply them to deliver long-term business value.
Mentor junior data scientists and engineers, promoting best practices in AI development, documentation, and cross-functional collaboration.

WHAT YOU'LL BRING:

Bachelor's degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience, with at least 5 years deploying and supporting full-stack applications in enterprise environments, and several years of experience integrating AI, MLOps into full-stack applications.
Experienced in designing and shipping production Generative AI-based applications with agentic architectures, with strong skills in prompt engineering, orchestration frameworks (e.g., LangChain, LangGraph, or similar), tool/function calling, structured outputs, model selection, and LLM evaluation.
Experienced in full-stack development (backend, frontend, and database technologies) with expertise in technologies such as Vue and TKG, and strong skills in Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices.
Experienced in AWS services, particularly Bedrock, SageMaker, S3, Lambda, and infrastructure as code (CDK). Extensive experience applying software engineering design patterns and enterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications.
Experienced in data science, machine learning techniques, and data engineering. Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies to empirically evaluate and improve model performance.
Strong communicator and collaborator, experienced at building partnerships in remote and ever-changing environments. Resilient and resourceful problem solver, proactive at overcoming obstacles to achieve goals. Comfortable with ambiguity and change, demonstrating high learning agility, adapting quickly to shifting priorities, and bringing clarity to undefined problems.

PREFERRED:

Advanced degree in an analytical field.
Familiarity with single or multi-cloud agentic architecture for building LLM-based applications.
Proven experience with MLOps and implementing automated pipelines for model and algorithm training, monitoring, versioning, deployment, and scaling in production environments.

Why Join Us?

Here, your skills spark progress. You'll solve meaningful problems, collaborate with passionate teammates, and grow in a space where innovation is the norm-not the exception.
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 Please allow at least one week from time of applying if you are checking on the status.
Stay Safe from Job ScamsMutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com.' We never request sensitive information or extend job offers without conducting interviews. For more details, check our Hiring FAQs. Stay alert for scams and apply securely!
Fair Chance Notices
#mutualofomaha

Advertised: Oct 14, 2026 09:00 AM Central Daylight Time
Applications close:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10328075
Position Id: 88b2d86b7cd2995af67495251dfba5d0
Posted 4 hours ago

Fitment

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Job Details

Skills

Information Technology
Workflow
IaaS
Ideation
FOCUS
Resource Management
Optimization
Regulatory Compliance
Systems Design
Use Cases
Underwriting
Customer Service
Modeling
Scalability
Agile
Mentorship
Documentation
Computer Science
Mathematics
Shipping
Generative Artificial Intelligence (AI)
Prompt Engineering
Orchestration
LangChain
Evaluation
Database
Vue.js
Python
TypeScript
Git
SQL
Continuous Integration
Continuous Delivery
Automated Testing
DevOps
Amazon Web Services
Amazon SageMaker
Amazon S3
Software Engineering
Design Patterns
Enterprise Software
Data Science
Machine Learning (ML)
Data Engineering
Artificial Intelligence
A/B Testing
Partnership
Clarity
Analytical Skill
Cloud Computing
Machine Learning Operations (ML Ops)
Algorithms
Training
Apache Spark
Collaboration
Innovation
SAFE
Recruiting

Information Technology
Workflow
IaaS
Ideation
FOCUS
Resource Management
Optimization
Regulatory Compliance
Systems Design
Use Cases
Underwriting
Customer Service
Modeling
Scalability
Agile
Mentorship
Documentation
Computer Science
Mathematics
Shipping
Generative Artificial Intelligence (AI)
Prompt Engineering
Orchestration
LangChain
Evaluation
Database
Vue.js
Python
TypeScript
Git
SQL
Continuous Integration
Continuous Delivery
Automated Testing
DevOps
Amazon Web Services
Amazon SageMaker
Amazon S3
Software Engineering
Design Patterns
Enterprise Software
Data Science
Machine Learning (ML)
Data Engineering
Artificial Intelligence
A/B Testing
Partnership
Clarity
Analytical Skill
Cloud Computing
Machine Learning Operations (ML Ops)
Algorithms
Training
Apache Spark
Collaboration
Innovation
SAFE
Recruiting

Summary

$140,000 to $175,000, 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:

Lead the design, development, and deployment of Generative AI applications by immersing yourself in the needs of operational areas. Build empathy for business challenges and apply engineering best practices to deliver innovative, robust, and reliable AI solutions.
Lead the design, development, and deployment of agentic Generative AI applications by immersing yourself in the needs of operational areas. Build empathy for business challenges and apply engineering best practices to deliver innovative, robust, and reliable AI solutions.
Drive the end-to-end lifecycle of AI/ML projects, from ideation and experimentation through production deployment. Use prompt engineering, data versioning, systematic experimentation, and A/B testing to optimize performance.
Develop and maintain secure, scalable infrastructure on AWS, with a focus on cloud resource management, cost optimization, and compliance. Prioritize security and fairness throughout the development and deployment process to protect our customers and uphold ethical standards.
Collaborate on systems design and integration, ensuring seamless interoperability between AI systems and both modern and legacy front-end/back-end platforms. Maintain CI/CD pipelines and automated testing frameworks to support continuous delivery and operational reliability.
Partner with business and technical stakeholders to identify high-impact use cases for generative AI in underwriting, customer service, claims, and risk modeling, ensuring alignment with strategic goals.
Implement and promote MLOps best practices, enabling reproducibility, scalability, and model governance throughout the development lifecycle.
Lead delivery using agile methodologies, incorporating continuous feedback and fostering a culture of experimentation and iterative improvement. Own your solutions from prototype through production.
Stay informed about emerging trends in Generative AI, cloud-native technologies, model governance, and responsible AI, and apply them to deliver long-term business value.
Mentor junior data scientists and engineers, promoting best practices in AI development, documentation, and cross-functional collaboration.

WHAT YOU'LL BRING:

Bachelor's degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience, with at least 5 years deploying and supporting full-stack applications in enterprise environments, and several years of experience integrating AI, MLOps into full-stack applications.
Experienced in designing and shipping production Generative AI-based applications with agentic architectures, with strong skills in prompt engineering, orchestration frameworks (e.g., LangChain, LangGraph, or similar), tool/function calling, structured outputs, model selection, and LLM evaluation.
Experienced in full-stack development (backend, frontend, and database technologies) with expertise in technologies such as Vue and TKG, and strong skills in Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices.
Experienced in AWS services, particularly Bedrock, SageMaker, S3, Lambda, and infrastructure as code (CDK). Extensive experience applying software engineering design patterns and enterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications.
Experienced in data science, machine learning techniques, and data engineering. Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies to empirically evaluate and improve model performance.
Strong communicator and collaborator, experienced at building partnerships in remote and ever-changing environments. Resilient and resourceful problem solver, proactive at overcoming obstacles to achieve goals. Comfortable with ambiguity and change, demonstrating high learning agility, adapting quickly to shifting priorities, and bringing clarity to undefined problems.

PREFERRED:

Advanced degree in an analytical field.
Familiarity with single or multi-cloud agentic architecture for building LLM-based applications.
Proven experience with MLOps and implementing automated pipelines for model and algorithm training, monitoring, versioning, deployment, and scaling in production environments.

Why Join Us?

Here, your skills spark progress. You'll solve meaningful problems, collaborate with passionate teammates, and grow in a space where innovation is the norm-not the exception.
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 Please allow at least one week from time of applying if you are checking on the status.
Stay Safe from Job ScamsMutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com.' We never request sensitive information or extend job offers without conducting interviews. For more details, check our Hiring FAQs. Stay alert for scams and apply securely!
Fair Chance Notices
#mutualofomaha

Advertised: Oct 14, 2026 09:00 AM Central Daylight Time
Applications close:

Dice Id: 10328075
Position Id: 88b2d86b7cd2995af67495251dfba5d0
Posted 4 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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