Niagara Bottling · 1 day ago
Principal Data Scientist – Gen AI & Agentic AI
Corp-Main - Diamond Bar, CA
Full-time
Onsite
Lead/Staff
$150K/yr - $217K/yr
10+ years expNiagara Bottling is seeking a Principal Data Scientist to lead R&D initiatives focused on Generative AI and agentic AI solutions. This role involves strategizing, guiding, and performing innovative research to enhance decision-making and operational efficiency across the company's business units.
Food and BeverageSports
Responsibilities
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 that improve decision‑making, automation, and operational efficiency across Niagara’s business units
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
Architect robust agentic systems, including multi‑step orchestration, tool‑use agents, retrieval‑augmented workflows, grounding layers, and guardrail frameworks that ensure reliability, safety, and domain accuracy
Design and implement scalable analytic and modeling approaches, including feature engineering, embedding strategies, retrieval pipelines, fine‑tuning, prompt engineering, supervised learning, and hybrid architectures combining classical ML with GenAI capabilities
Develop, prototype, and operationalize LLM‑driven solutions using enterprise platforms such as Azure OpenAI, Databricks, Snowflake Cortex, Oracle AI Agent Studio, and containerized microservices
Build reusable, interpretable, and production‑ready models, agents, and pipelines, ensuring they meet standards for scalability, observability, resilience, and maintainability
Establish and own Niagara’s LLMOps and agent lifecycle practices, including CI/CD for models and agents, monitoring, evaluation frameworks, prompt testing, drift detection, and continuous improvement workflows
Champion Responsible AI principles, embedding safety, fairness, explainability, privacy, security, grounding, and governance throughout the agent and model development lifecycle
Define technical standards and best practices for GenAI development, including vector database usage, evaluation frameworks, embeddings, data preparation workflows, and content grounding strategies
Collaborate with IT, data engineering, and platform teams to ensure required infrastructure—data access, compute environments, vector stores, APIs, and application integration layers—is in place for scalable deployment
Influence executive stakeholders by crafting compelling narratives, visualizations, and recommendations that communicate complex AI concepts in business‑relevant terms and drive strategic alignment
Coach, mentor, and uplift the technical capabilities of data scientists and senior individual contributors, providing thought leadership, code reviews, architectural guidance, and development plans
Drive innovation initiatives and proofs‑of‑concept, evaluating emerging GenAI frameworks, agent orchestration tools, evaluation stacks, retrieval technologies, and model families
Contribute to enterprise AI governance, including model/agent documentation, risk assessments, access control, versioning, testing standards, and audit readiness
Foster cross‑functional collaboration, identifying opportunities to leverage GenAI across manufacturing, supply chain, commercial operations, HR, legal, and corporate functions
Represent DDI as a subject‑matter expert for GenAI and agentic AI, sharing insights, educating stakeholders, and building organizational readiness for advanced AI capabilities
Analytics Product Expertise Strong knowledge of agile analytics product delivery, full-stack development (Data Engineering, Data Science, UX/UI), and industry best practices
Product & Project Management Skilled in developing Product Briefs, managing roadmaps, backlog prioritization, release planning, sprint metrics, and cross-team coordination while ensuring business value-driven outcomes
Business & Process Understanding deep comprehension of business processes, functional digital capabilities (Supply Chain, Manufacturing, Finance, Sales & Marketing), and high-quality analytics delivery
Change & People Management skilled in managing change initiatives, fostering collaboration, and balancing competing priorities in a fast-paced environment
Qualification
Required
10+ years of experience in Data Science or Analytics, including 4+ years leading projects or technical teams
Deep expertise in Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and agentic AI systems
Demonstrated experience designing and delivering production AI systems using Azure and Databricks
Strong storytelling, executive communication, and influence skills, with an ability to translate complex AI concepts into business outcomes
Bachelor's Degree in Computer Science/Data Science/Statistics or other related field
Preferred
12–15+ years of experience in Data Science, AI/ML engineering, or advanced analytics, including leading platform‑level or enterprise GenAI programs
Experience working with agent orchestration frameworks, vector databases, evaluation stacks, and modern LLMOps tooling
Experience with Oracle AI Agent Studio
Master's Degree in Computer Science/Data Science/Statistics or other related field
Agentic AI / Gen AI / Machine Learning or Advanced Analytics certifications
Benefits
Paid Time Off for holidays, sick time, and vacation time
Paid parental and caregiver leaves
Medical, including virtual care options
Dental
Vision
401(k) with company match
Health Savings Account with company match
Flexible Spending Accounts
Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members
Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements
Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan
Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc.
Tuition reimbursement, college savings plan and scholarship opportunities
And more!
Company
Niagara Bottling
Niagara Bottling provides bottled water and bottled sports drinks.
5001-10000 employees
H1B Sponsorship
Niagara Bottling has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (85)
2024 (88)
2023 (115)
2022 (64)
2021 (80)
2020 (81)
Funding
Current Stage
Late StageLeadership Team
Abigail Kimball
Senior Talent Acquisition Partner
Afif Saade
Senior TA Partner
Recent News
Hartford Business Journal
2025-12-04
Company data provided by crunchbase