Expert Data Scientist

Nestlé IT & Digital Americas is hiring an Expert Data Scientist to support Nestlé USA. The role develops and deploys AI/ML solutions, partners with business functions to turn challenges into analytics use cases, and builds evaluation and workflow capabilities that support reliable adoption and measurable business value.

Responsibilities

• Lead the end-to-end development and deployment of machine learning models from experimentation and evaluation through production deployment, adoption, and ongoing optimization, aligned with business priorities
• Partner with stakeholders across the business to translate complex or ambiguous business challenges into clear technical requirements, defining data needs, success criteria, tradeoffs, risks, and actionable solutions that deliver measurable business value
• Develop and deploy solutions within enterprise cloud environments, including automating jobs, provisioning resources, deploying packages, and navigating enterprise security requirements
• Design evaluation, monitoring, and validation frameworks for production AI/ML solutions, identifying model, data-quality, and pipeline issues to ensure solutions remain reliable and effective at scale
• Partner across global and regional IT & Digital teams to scale analytics and ML capabilities, navigating enterprise platforms, roadmaps, and processes to enable adoption
• Elevate team and organizational capability by documenting technical decisions and learnings, coaching teammates and business users, and applying security, resilience, and responsible AI/ML principles throughout solution development

Skills

• This position is not eligible for Visa Sponsorship
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field
• 7+ years of professional experience, including 5+ years of experience building and deploying production AI/ML solutions adopted by end users, including scaling solutions in enterprise environments using MLOps, cloud data platforms, and emerging AI/ML technologies
• 3+ years of experience developing with Python/PySpark to automate tasks, manipulate data, and build production-level data science solutions in an MLOps environment
• 3+ years of experience managing stakeholders with minimal oversight, maintain relationships, presenting to senior executives, and communicating high-level technical concepts in clear, colloquial, action-oriented language
• 2+ years of experience mentoring/ coaching junior peers and teammates
• Master's or PhD in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related discipline
• Experience in consumer products, CPG, or Commercial environments

Benefits

• Performance-based incentives
• 401k with company match
• Healthcare coverage

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