Principal Data Scientist – Gen Ai & Agentic Ai

NIAGARA BOTTLING LLC

Corp, CA, United States
$149,915.38 - $217,377.31 / yearly; 15% annual bon...
On-site
Enterprise-grade genai and agentic ai solutions
Architect robust agentic systems
Design and implement scalable analytic and modeling approaches
Niagara Bottling LLC is seeking a Principal Data Scientist specializing in Generative AI and Agentic AI to lead research and development initiatives focused on innovative AI solutions. The role requires extensive experience in data science and AI, with a strong emphasis on leadership and strategic influence among cross-functional teams

Job Summary

  • Lead the strategy, design, and delivery of enterprise-grade GenAI and agentic AI solutions, driving the development of next-generation agents, LLM-powered applications, and hybrid GenAI/ML systems.
  • Partner with senior business leaders, product management, and cross-functional technology teams to translate ambiguous or complex business challenges into clear problem statements, measurable outcomes, and prioritized AI initiatives.
  • Coach, mentor, and uplift the technical capabilities of data scientists and senior individual contributors, providing thought leadership, code reviews, architectural guidance, and development plans.

Matching Summary

Match Score: 85

Niagara Bottling LLC is seeking a Principal Data Scientist specializing in Generative AI and Agentic AI to lead research and development initiatives focused on innovative AI solutions. The role requires extensive experience in data science and AI, with a strong emphasis on leadership and strategic influence among cross-functional teams.

Salary

$149,915.38 - $217,377.31 / Yearly; 15% Annual Bonus; Not specified

Skills & Requirements

Must-have

  • Enterprise-grade GenAI and agentic AI solutions
  • Architect robust agentic systems
  • Design and implement scalable analytic and modeling approaches
  • Develop, prototype, and operationalize LLM-driven solutions
  • Establish and own Niagara’s LLMOps and agent lifecycle practices
  • Champion Responsible AI principles
  • Define technical standards and best practices for GenAI development

Nice-to-have

  • Translate ambiguous business challenges into clear problem statements
  • Build reusable, interpretable, and production-ready models
  • Influence executive stakeholders with compelling narratives
  • Coach, mentor, and uplift technical capabilities
  • Drive innovation initiatives and proofs-of-concept
  • Foster cross-functional collaboration
  • Represent DDI as a subject-matter expert

Key Requirements

  • 10+ years of experience in Data Science or Analytics
  • 4+ years leading projects or technical teams
  • Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and agentic AI systems
  • Experience designing and delivering production AI systems using Azure and Databricks
  • Strong storytelling, executive communication, and influence skills
  • 12–15+ years of experience in Data Science, AI/ML engineering, or advanced analytics
  • Experience working with agent orchestration frameworks, vector databases, evaluation stacks, and modern LLMOps tooling
  • Experience with Oracle AI Agent Studio
  • Bachelor's Degree in Computer Science/Data Science/Statistics or other related field
  • Master’s Degree in Computer Science/Data Science/Statistics or other related field
  • Agentic AI / Gen AI / Machine Learning or Advanced Analytics certifications

Work Rights

Not specified

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