Principal Data Scientist

Mutual of Omaha Insurance Co.; Nebraska; Hybrid; USD 140,000 - 175,000; Full time

Benefits offered by this job

401(k) with company contributions

Annual bonus eligibility

Job summary

Mutual of Omaha Insurance Co. is seeking a seasoned AI/ML leader to design, develop, and deploy Generative AI applications for underwriting, customer service, and claims.

You will own cloud-native architectures, promote MLOps, and drive agile delivery while mentoring junior data scientists and engineers. Applicants should have 5+ years deploying full-stack enterprise apps with AI integration, strong Python/TypeScript skills, and a track record of scalable, secure solutions in a large

Qualifications

• Bachelor’s degree or equivalent experience in computing/analytical fields.
• 5+ years deploying and supporting full-stack enterprise apps with AI/MLOps.
• Experience designing and shipping production Generative AI-based apps.

Responsibilities

• Lead design, development, and deployment of Generative AI apps across operations.
• Drive end-to-end AI/ML project lifecycle from ideation to production.
• Develop secure, scalable AWS infrastructure focusing on cost optimization and compliance.

Skills

Full-stack development

AI / MLOps

Prompt engineering

LangChain / LangGraph

Cloud AWS

DevOps practices

Team collaboration

Education

Bachelor's degree or equivalent

Tools

Vue

TKG

CI/CD pipelines

Job description

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.
• 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 experimenting 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 you have questions about your application or the hiring process , email our Talent Acquisition area at [e-mail] . Please allow at least one week from time of applying if you are checking on the status.

Together we achieve greatness. Not only is this a core value, but it is also representative of the kind of place we are - built by the strength and integrity of our employees. It is why we're named a "Great Place to Work".

Surround yourself with an authentic and inclusive culture. Your strengths and differences will be valued and celebrated by a diverse community of co-workers.