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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Expert Data Scientist (AI) - **Company:** Nestle - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $140,000.0 - $196,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Large Language Models, Snowflake, Information Technology, Machine Learning Operations, Databricks - **Published:** August 4, 2026 - **Apply:** https://www.juju.com/job/00000000gllooq ## About the Role + 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._ ## Description 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 ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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