Data Scientist

Nestle

. Lead end-to-end development and deployment of machine learning models from experimentation and evaluation through production deployment, adoption, and ongoing optimization .

Posted 11/2/2026full-timeArlington • Virginia • United StatesSeniorLead💰 $162,386 - $225,690 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the development and deployment of machine learning models, with a strong focus on MLOps, cloud environments, and enterprise security. Proven ability to translate business challenges into actionable technical solutions while mentoring teams and managing stakeholder relationships.

Highest-signal resume keywords

Machine Learning Model DevelopmentMLOps ImplementationPython/PySpark DevelopmentEnterprise Cloud SolutionsStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceMLOpsPythonPySparkData ManipulationAutomationModel EvaluationProduction DeploymentAI/ML Solutions

Soft Skills

CoachingCommunicationStakeholder EngagementProblem SolvingTechnical Documentation

Tools & Technologies

Cloud Data PlatformsEnterprise SecurityMonitoring FrameworksValidation FrameworksAnalytics Tools

Industry Keywords

Consumer ProductsCPGCommercial EnvironmentsData QualityEnterprise Platforms

Tech Stack

Tools & technologies

CloudPySparkPython

About the role

Key responsibilities & impact

Lead end-to-end development and deployment of machine learning models from experimentation and evaluation through production deployment, adoption, and ongoing optimization
Translate complex or ambiguous business challenges into technical requirements, data needs, success criteria, tradeoffs, risks, and actionable solutions
Develop and deploy solutions in enterprise cloud environments
Automate jobs, provision resources, deploy packages, and navigate enterprise security requirements
Design evaluation, monitoring, and validation frameworks for production AI/ML solutions
Identify model, data-quality, and pipeline issues to maintain reliable and effective solutions at scale
Partner with global and regional IT & Digital teams to scale analytics and ML capabilities
Navigate enterprise platforms, roadmaps, and processes to enable adoption
Document technical decisions and learnings
Coach teammates and business users
Apply security, resilience, and responsible AI/ML principles throughout solution development

Requirements

What you’ll need

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
Experience scaling enterprise solutions using MLOps, cloud data platforms, and emerging AI/ML technologies
3+ years developing with Python/PySpark in an MLOps environment
Experience automating tasks, manipulating data, and building production-level data science solutions
3+ years managing stakeholders with minimal oversight, maintaining relationships, presenting to senior executives, and communicating high-level technical concepts
2+ years mentoring/coaching junior peers and teammates
Ability to work in enterprise cloud environments and navigate enterprise security requirements
Master's or PhD in a related discipline preferred, not required
Experience in consumer products, CPG, or Commercial environments preferred, not required
This position is not eligible for Visa Sponsorship

Benefits

Comp & perks

Performance-based incentives/bonus eligibility
401(k) with company match
Healthcare coverage
Competitive total rewards package
Inclusive workplace
Recruitment accommodations for applicants with disabilities