Expert Data Scientist

Nestlé IT & Digital is seeking an Expert Data Scientist to support Nestlé USA (NUSA) with end-to-end production AI/ML delivery.

Responsibilities

• Own end-to-end development and deployment of machine learning models, covering experimentation, evaluation, production deployment, adoption, and ongoing optimization aligned to business priorities.
• Collaborate with business stakeholders to convert complex or ambiguous business needs into technical requirements, including data needs, success criteria, tradeoffs, risks, and measurable business value.
• Build and deploy solutions in enterprise cloud environments, including automating jobs, provisioning resources, deploying packages, and working through enterprise security requirements.
• Create evaluation, monitoring, and validation frameworks for production AI/ML solutions to detect model issues, data-quality issues, and pipeline problems and maintain reliability at scale.
• Partner with global and regional IT & Digital teams to scale analytics and ML capabilities while aligning to enterprise platforms, roadmaps, and processes to drive adoption.
• Strengthen team and organizational capability by documenting technical decisions and learnings, coaching teammates and business users, and applying security, resilience, and responsible AI/ML principles across the development lifecycle.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field.
• 7+ years of professional experience.
• 5+ years building and deploying production AI/ML solutions adopted by end users, including scaling in enterprise environments using MLOps, cloud data platforms, and emerging AI/ML technologies.
• 3+ years developing with Python and PySpark to automate tasks, manipulate data, and deliver production-level data science solutions in an MLOps environment.
• 3+ years managing stakeholders with minimal oversight, maintaining relationships, presenting to senior executives, and communicating high-level technical concepts in clear, colloquial, action-oriented language.
• 2+ years mentoring/coaching junior peers and teammates.

Technologies

• Python
• PySpark
• MLOps

Benefits

• Bonus eligibility: Yes
• 401k with company match
• Healthcare coverage
• Performance-based incentives
• Competitive total rewards package

Additional Information

• Location: Arlington, VA (onsite)
• Compensation: USD 162,386 - 225,689 per year
• Master’s or PhD in a related discipline is preferred.
• Experience in consumer products, CPG, or commercial environments is preferred.