Expert Data Scientist

Nestlé IT; Arlington (VA); Sur place; USD 162 000 - 226 000; Plein temps

Avantages offerts par ce poste

Bonus eligibility

401k with company match

Healthcare coverage

Performance-based incentives

Total rewards package

Résumé du poste

Nestlé IT & Digital is seeking an Expert Data Scientist to support Nestlé USA with end-to-end production AI/ML delivery. The role emphasizes deploying models in enterprise cloud environments and aligning with business priorities.

You will collaborate with stakeholders to translate complex needs into technical requirements, build monitoring frameworks, and scale analytics across regions while mentoring teammates and upholding security and responsible AI principles.

Qualifications

• Bachelor’s degree in CS, engineering, math, statistics or data science.
• 7+ years of professional experience.
• 5+ years building and deploying production AI/ML solutions in enterprise environments using MLOps and cloud data platforms.
• 3+ years developing with Python and PySpark in an MLOps environment.
• 3+ years managing stakeholders and presenting to senior executives.
• 2+ years mentoring junior teammates.

Responsabilités

• Own end-to-end development and deployment of ML models from experimentation to production.
• Collaborate with stakeholders to translate business needs into technical requirements and measurable value.
• Build and deploy solutions in enterprise cloud environments with automation and security.
• Create evaluation, monitoring, and validation frameworks for production AI/ML to ensure reliability.
• Scale analytics with global IT & Digital teams and align with platforms and roadmaps.
• Document technical decisions, coach teammates, and apply security and responsible AI principles.

Connaissances

Stakeholder management

Mentoring

Executive communication

Formation

Bachelor's degree in CS/Engineering/Math/Data Science

Master’s or PhD preferred

Outils

Python

PySpark

MLOps

Description du poste

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.