Staff Data Scientist – ML, Gen AI & Agentic AI

Niagara Bottling•Diamond Bar, CA

1d•Onsite

About The Position

The Staff Data Scientist is a senior individual contributor who serves as a technical lead across Machine Learning, Generative AI, and Agentic AI initiatives. The role designs, develops, and scales advanced models, RAG-powered GenAI systems, and agentic workflows that power analytics across CPG growth, demand forecasting, pricing, supply chain, and manufacturing. It emphasizes rigorous feature engineering, robust validation and deployment patterns, and clear business communication to drive adoption and value.

Requirements

8+ years in Data Science/ML.
Experience in CPG/retail growth, demand forecasting, pricing, and promotional analytics.
Proficiency in Python, SQL, Snowflake, Azure ML/Databricks.
Practical experience with ML techniques and emerging GenAI/LLM workflows.
Strong communication and stakeholder alignment skills.
experience may include a combination of work experience and education

Nice To Haves

10–12+ years analytics experience.
Experience with agent frameworks, vector databases, hybrid search.
Experience operationalizing ML/LLM systems with CI/CD and observability.
Familiarity with Power BI and analytics experience design.
experience may include a combination of work experience and education

Responsibilities

Design, build, and scale ML models for demand forecasting, growth analytics, price/pack elasticity, segmentation, trade promotion analysis, and supply-chain optimization.
Develop end-to-end ML pipelines with strong feature engineering, validation, deployment, and model monitoring/observability.
Deliver interpretable, production-ready models embedded into analytics products and decision experiences.
Build RAG-powered GenAI solutions with retrieval design, prompting strategies, grounding, and evaluation frameworks.
Develop tool-using and orchestrated agentic workflows to accelerate analytics and automate decision support.
Partner with APM&I/product management and business leaders to translate prioritized use cases into measurable outcomes; DS owns the analytic/agent approach and validates performance; APM&I owns value framing and business sign-off.
Communicate complex ML/GenAI concepts clearly to technical and business stakeholders, including model behavior, risks, and trade-offs.
Implement Responsible AI practices covering safety, bias mitigation, privacy, evaluation, and telemetry.
Provide technical leadership and mentorship without direct reports, guiding best practices, reviewing code/approaches, and elevating team capability.
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.

Benefits

Competitive compensation and benefits packages
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
Tuition reimbursement, college savings plan and scholarship opportunities