[Remote] Principal Data Scientist

Note: The job is a remote job and is open to candidates in USA. Mutual of Omaha is seeking a Principal Data Scientist specializing in Generative AI to lead the design, development, and deployment of production AI applications. This role involves architecting AI systems that enhance operational workflows and requires strong full-stack engineering and MLOps skills.ResponsibilitiesLead 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 solutionsLead 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 solutionsDrive 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 performanceDevelop 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 standardsCollaborate 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 reliabilityPartner 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 goalsImplement and promote MLOps best practices, enabling reproducibility, scalability, and model governance throughout the development lifecycleLead delivery using agile methodologies, incorporating continuous feedback and fostering a culture of experimentation and iterative improvement. Own your solutions from prototype through productionStay informed about emerging trends in Generative AI, cloud-native technologies, model governance, and responsible AI, and apply them to deliver long-term business valueMentor junior data scientists and engineers, promoting best practices in AI development, documentation, and cross-functional collaborationSkillsBachelor'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 applicationsExperienced 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 evaluationExperienced 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 practicesExperienced 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 applicationsExperienced 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 performanceStrong 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 problemsAdvanced degree in an analytical fieldFamiliarity with single or multi-cloud agentic architecture for building LLM-based applicationsProven experience with MLOps and implementing automated pipelines for model and algorithm training, monitoring, versioning, deployment, and scaling in production environmentsBenefitsEligible 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.Company OverviewMutual Of Omaha is a mutual insurance and financial services company helping clients achieve their financial goals. It was founded in 1909, and is headquartered in Omaha, Nebraska, USA, with a workforce of 1001-5000 employees. Its website is http://www.mutualofomaha.com.