Expert Data Scientist (AI)
Nestlé · $140,000–$196,000 (stated in the posting)
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- Expert Data Scientist (AI)
As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®. We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.
This position is not eligible for Visa Sponsorship.
Position Summary
Join Nestlé IT & Digital as an Expert AI Data Scientist supporting Nestlé USA (NUSA). You'll sit at the seam between business and technology, framing ambiguous business problems and then owning the AI solution end-to-end, from problem definition through adoption. This is a hybrid role, equal parts product manager and technical engineer. You won't just build models; you'll direct AI agents, build the verification and workflow scaffolding that lets a product team ship reliably, and leave behind reusable assets that make the next project easier. Success is measured by durable impact and adoption, and as agents and the surrounding tooling keep reinventing themselves, you'll help shape how NUSA scales AI responsibly.
- Serve as a thought leader on emerging AI, GenAI, and agentic technologies, translating breakthrough capabilities into scalable applications aligned with Nestlé's business priorities and enterprise value
- Partner with stakeholders to translate ambiguous business needs into clear, precise specifications, surfacing data requirements, tradeoffs, and failure modes, and act as an internal consultant who scopes problems, defines success criteria, and drives alignment across the lifecycle
- Own AI applications end-to-end, from use-case concept and experimental design through industrialization, deployment, and adoption, staying accountable across the full lifecycle rather than a single phase
- Orchestrate AI agents across parallel streams of work, turning repeated tasks into reusable workflows the broader team can leverage, and incorporate agents into new and existing solutions as the technology landscape evolves
- Design evaluation frameworks, conformance checks, and monitoring that validate AI output against defined specifications before rollout, including detection of silent errors, and sustain solutions in production through agent-assisted diagnosis of data-quality and pipeline issues
- Strengthen the team's collective capability by documenting decisions, learnings, and incidents in shared resources, and coach business users and teammates to elevate performance across projects
- Partner across global and regional IT & Digital teams to co-create and scale AI solutions, navigating platform roadmaps and enterprise processes to secure approval for needed features and capabilities
- Build solutions with security and resilience in mind, protecting sensitive data and safeguarding the critical business processes they touch, and anticipating failure and misuse so AI systems remain safe, trustworthy, and reliable in production
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field
- 7+ years of experience partnering with cross-functional stakeholders to translate business needs into technical solutions and drive adoption
- 5+ years with a demonstrated track record of building and shipping AI/ML solutions that real users adopted
- 3+ years of experience deploying and scaling solutions at enterprise scale, including MLOps and cloud platforms such as Databricks and Snowflake
- 3+ years of experience delivering production solutions with emerging technologies, advanced data and automation capabilities, or machine learning, with a recent focus on AI, GenAI, LLMs, agentic workflows
Other
- Master's or PhD in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related discipline is preferred
- Experience directing AI agents or agentic workflows to do substantive work, not just single-prompt usage, is preferred
- Experience driving AI concepts from idea to enterprise-scale adoption, ideally in consumer products, CPG, Supply Chain, or Commercial environments is preferred
- Strong hands-on engineering fluency in Python (or similar) for building, deploying, and integrating AI solutions, including modern LLM and agent patterns such as prompt interaction, tool/function calling, retrieval, and handling non-determinism, is preferred
Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.
The approximate pay range for this position is $140,000 to $196,000 per year. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at https://nestlejobs.com/nestle-in-the-us.
- It is our business imperative to remain a very inclusive workplace.
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