Principal Data Scientist

Mutual of Omaha is hiring a Principal Data Scientist (Generative AI) in Nebraska (onsite) to lead production-ready generative and agentic AI solutions.

Responsibilities

• Lead the end-to-end design, development, and deployment of Generative AI applications by partnering with operational areas to understand needs.
• Lead the end-to-end design, development, and deployment of agentic Generative AI applications by partnering with operational areas to understand needs.
• Own the AI/ML lifecycle from ideation and experimentation through production deployment, including prompt engineering, data versioning, systematic experimentation, and A/B testing.
• Develop and maintain secure, scalable AWS infrastructure, focusing on cloud resource management, cost optimization, and compliance with priorities on security and fairness.
• Collaborate on systems design and integration to ensure interoperability between AI systems and modern and legacy front-end/back-end platforms.
• Maintain CI/CD pipelines and automated testing frameworks.
• Partner with business and technical stakeholders to identify high-impact generative AI use cases in underwriting, customer service, claims, and risk modeling, aligned with strategic goals.
• Implement and promote MLOps best practices to support reproducibility, scalability, and model governance.
• Deliver using agile methodologies, incorporating continuous feedback and iterative improvement from prototype through production.
• Track emerging trends in Generative AI, cloud-native technologies, model governance, and responsible AI, translating them into long-term business value.
• Mentor junior data scientists and engineers, advancing best practices in AI development, documentation, and cross-functional collaboration.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or analytical fields (or equivalent experience).
• At least 5 years deploying and supporting full-stack applications in enterprise environments.
• Several years of experience integrating AI and MLOps into full-stack applications.
• Experience designing and shipping production Generative AI applications with agentic architectures, including:
  • Prompt engineering
  • Orchestration frameworks such as LangChain and LangGraph (or similar)
  • Tool/function calling
  • Structured outputs
  • Model selection
  • LLM evaluation
• Full-stack development experience (backend, frontend, and database technologies), including Vue and TKG.
• Strong skills in Python, TypeScript, git, SQL, CI/CD, automated testing, and DevOps best practices.
• AWS experience, with emphasis on Bedrock, SageMaker, S3, Lambda, and infrastructure as code using CDK.
• Extensive experience applying software engineering design patterns and enterprise architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications.
• Experience across data science, machine learning, and data engineering.
• Ability to address fairness in AI development and apply experimentation and A/B testing to evaluate and improve model performance.
• Strong communication and collaboration skills, including building partnerships in remote and changing environments.
• Proactive problem-solving and resilience to overcome obstacles to achieve goals.
• Comfort working through ambiguity and change, demonstrating learning agility and the ability to bring clarity to undefined problems.

Technologies

• AWS (Bedrock, SageMaker, S3, Lambda)
• CDK
• LangChain, LangGraph
• Vue, TKG
• Python, TypeScript, git, SQL
• CI/CD, DevOps
• A/B testing

Salary and Benefits

• $140,000 - $175,000 per year; annual bonus eligible as applicable.
• 401(k) plan: 2% company contribution and 6% company match.
• Work-life balance with vacation, personal time, and paid holidays.

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 training, monitoring, versioning, deployment, and scaling in production.

Additional Details

• Applicants must not require sponsorship for employment now or in the future.
• Security notice: Mutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications come from @mutualofomaha.com.