Expert Data Scientist (AI)

Nestlé IT & Digital is hiring an Expert AI Data Scientist to support Nestlé USA (NUSA) in a hybrid role based in Arlington, VA 22209. This position sits at the seam between business needs and technical execution, turning ambiguous problems into AI solutions that can be deployed, evaluated, and adopted responsibly across the enterprise.

You will own AI applications end-to-end, from initial framing and experimental design through industrialization and rollout. The work blends product-minded problem definition with hands-on engineering, including orchestrating AI agents, creating verification and workflow scaffolding, and scaling solutions with security, resilience, and monitoring in mind.

Responsibilities

• Act as a thought leader on emerging AI, GenAI, and agentic technologies, translating breakthrough capabilities into scalable applications aligned with Nestlé business priorities and enterprise value
• Partner with stakeholders to convert ambiguous business needs into clear specifications, surfacing data requirements, tradeoffs, and failure modes, and driving alignment across the lifecycle
• Own AI applications from use-case concept and experimental design through industrialization, deployment, and adoption, maintaining accountability across the full lifecycle
• Orchestrate AI agents across parallel streams of work, converting repeated tasks into reusable workflows that the broader team can leverage, and incorporate agents as the landscape evolves
• Design evaluation frameworks, conformance checks, and monitoring to validate AI output against defined specifications before rollout, including detection of silent errors, and sustain production solutions through agent-assisted diagnosis of data-quality and pipeline issues
• Strengthen team capability by documenting decisions, learnings, and incidents in shared resources, and coaching business users and teammates to improve performance across projects
• Partner with global and regional IT & Digital teams to co-create and scale AI solutions, navigating platform roadmaps and enterprise processes to secure approvals for needed capabilities
• Build with security and resilience in mind by protecting sensitive data and safeguarding critical business processes, 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 track record of building and shipping AI/ML solutions that real users adopted
• 3+ years deploying and scaling solutions at enterprise scale, including MLOps and cloud platforms such as Databricks and Snowflake
• 3+ years delivering production solutions using emerging technologies, advanced data and automation capabilities, or machine learning, with a recent focus on AI, GenAI, LLMs, and agentic workflows

Technologies

• Python
• Databricks
• Snowflake
• MLOps
• LLMs
• Agentic workflows
• Prompt interaction
• Tool/function calling
• Retrieval

Benefits

• 401k with company match
• Healthcare coverage
• Performance-based incentives
• Competitive total rewards package
• A broad range of other benefits

Additional information: A 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 only 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) is preferred, including modern LLM and agent patterns such as prompt interaction, tool/function calling, retrieval, and handling non-determinism.

Location & salary: Arlington, VA 22209 (hybrid). Salary range: USD 140,000 - 196,000 per year. Minimum experience: 3 years.