Expert Data Scientist (AI)

Nestlé IT; Arlington (VA); Hybrid; USD 140,000 - 196,000; Full time

Benefits offered by this job

401k with company match

Healthcare coverage

Performance-based incentives

Competitive total rewards package

Job summary

Nestlé IT in Arlington, VA (hybrid) seeks an Expert Data Scientist focused on applied AI to bridge business needs and engineering execution. Lead AI/GenAI initiatives, define problems, design experiments, and deliver end-to-end AI solutions including agentic workflows for scalable production.

You'll partner with diverse stakeholders, own AI applications from concept through deployment and adoption, and orchestrate AI agents across parallel streams while ensuring trustworthy performance and

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field.
• 7+ years partnering with cross-functional stakeholders to translate business needs into technical solutions and drive adoption.
• 5+ years building and shipping AI/ML solutions with real user adoption.
• 3+ years deploying and scaling solutions at enterprise scale including MLOps and cloud platforms such as Databricks and Snowflake.
• 3+ years delivering production solutions with emerging technologies, AI/GenAI/LLMs and agentic workflows.

Responsibilities

• Act as a thought leader on AI, GenAI, and agentic technologies translating capabilities into scalable applications.
• Partner with stakeholders to convert ambiguous business needs into precise specs including data requirements and failure modes.
• Own AI applications end-to-end from concept to deployment and adoption.
• Orchestrate AI agents across parallel streams, building reusable workflows for teams.
• Develop evaluation frameworks, conformance checks, and monitoring for safe production AI outputs.
• Document decisions and incidents, coaching users to improve project performance.
• Collaborate with global IT & Digital teams to scale AI solutions within enterprise processes.
• Build security and resilience into AI systems, guarding sensitive data and critical processes.

Skills

Python

Databricks

Snowflake

MLOps

LLMs

GenAI

AI/ML

AI agents

Agentic workflows

Prompt interaction

Tool/function calling

Retrieval

Education

Bachelor’s degree in Computer Science or related field

Master’s or PhD in a related discipline

Tools

Databricks

Snowflake

Job description

Join Nestlé IT & Digital in Arlington, VA (hybrid) as an Expert Data Scientist focused on applied AI. In this role, you bridge business priorities and engineering execution to define ambiguous problems and deliver AI solutions end-to-end, including agent-driven workflows and verification practices for reliable, responsible scaling.

Role Overview

You will serve as a technical and strategic leader for emerging AI, GenAI, and agentic technologies. The work combines product management thinking with hands-on engineering to frame use cases, design experiments, industrialize and deploy solutions, and drive adoption across stakeholders. You will also orchestrate AI agents across parallel workstreams and establish evaluation, monitoring, and workflow scaffolding to support trustworthy production outcomes.

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 precise specifications, including identifying data requirements, tradeoffs, and failure modes, and maintaining accountability through the solution lifecycle.
• Own AI applications end-to-end, spanning use-case concept and experimental design through industrialization, deployment, and adoption.
• Orchestrate AI agents across parallel streams of work, converting repeated tasks into reusable workflows other teams can leverage, and incorporating agents into both new and existing solutions as the technology landscape evolves.
• Develop evaluation frameworks, conformance checks, and monitoring to validate AI output against defined specifications prior to rollout, including detection of silent errors; support production stability through agent-assisted diagnosis of data-quality and pipeline issues.
• Improve team effectiveness by documenting decisions, learnings, and incidents in shared resources, and coaching business users and teammates to strengthen performance across projects.
• Collaborate with global and regional IT & Digital teams to co-create and scale AI solutions, aligning with platform roadmaps and enterprise processes needed for approvals.
• Build with security and resilience in mind by protecting sensitive data and safeguarding critical business processes, while anticipating failure and misuse to help keep AI systems safe, trustworthy, and reliable in production.

Required Qualifications

• 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 of demonstrated experience 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 delivering production solutions with emerging technologies, advanced data and automation capabilities, or machine learning, with a recent focus on AI, GenAI, LLMs, and agentic workflows.

Preferred Qualifications

• Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related discipline.
• Experience directing AI agents or agentic workflows to perform substantive work beyond single-prompt usage.
• Experience moving AI from concept to enterprise-scale adoption, ideally in consumer products, CPG, Supply Chain, or Commercial environments.
• 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.

Technology Focus

• Python
• Databricks
• Snowflake
• MLOps
• LLMs
• GenAI
• AI/ML
• AI agents
• Agentic workflows
• Prompt interaction
• Tool/function calling
• Retrieval

Compensation and Benefits

• USD 140,000 - 196,000 per year.
• 401k with company match
• Healthcare coverage
• Performance-based incentives
• Competitive total rewards package

Location and Work Arrangement

• Arlington, VA (hybrid)

Visa Sponsorship

This position is not eligible for Visa Sponsorship.