Senior Commercial Data Scientist

Nestle

. Serve as a hands-on data science consultant to brand, marketing, sales, and category teams .

Posted 10/27/2026full-timeSt. Louis • Missouri • United StatesSenior💰 $118,422 - $166,343 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science, machine learning, and AI solutions to address complex business challenges, particularly in marketing and consumer-facing contexts. Proficient in operationalizing AI through AIOps/MLOps frameworks and effective communication of technical findings to stakeholders.

Highest-signal resume keywords

Data Science ExpertiseMachine Learning ApplicationAIOps/MLOps FrameworksStatistical ModelingBusiness Stakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningPredictive ModelingStatistical AnalysisAI SolutionsAdvanced AnalyticsGenerative AIModel GovernanceOperationalizing AIAnalytical Approaches

Soft Skills

Problem SolvingCommunicationCollaborationKnowledge SharingStakeholder Engagement

Industry Keywords

Marketing AnalyticsConsumer InsightsE-commerceCommercial SolutionsData-Driven Decision Making

About the role

Key responsibilities & impact

Serve as a hands-on data science consultant to brand, marketing, sales, and category teams
Understand business challenges, shape ambiguous problems, identify analytical opportunities, and translate commercial priorities into data science and AI solutions
Design, develop, validate, and implement statistical, predictive modeling, machine learning, and AI solutions
Solve consumer-facing, go-to-market, commercial, and marketing business problems
Explore and apply Generative AI capabilities to commercial and marketing opportunities
Work with technical experts when specialized architecture or engineering expertise is needed
Follow AIOps/MLOps, monitoring, and model-governance practices to move solutions into production
Leverage and contribute to reusable frameworks, tools, and best practices
Share knowledge with other data scientists and stay current on emerging AI and analytics approaches

Requirements

What you’ll need

Bachelor's degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field
2+ years of experience working directly with business stakeholders to translate ambiguous business problems into analytical approaches and communicate technical findings in clear, business-relevant terms
5+ years of professional experience, including 3+ years applying data science, advanced analytics, or machine learning to business problems focused on marketing, consumer, commercial, e-commerce, sales, or related customer-facing business problems
Experience operationalizing AI solutions through AIOps/MLOps frameworks, model governance, and enterprise AI lifecycle management
Data science, machine learning, statistical, predictive modeling, and AI expertise
This position is not eligible for Visa Sponsorship

Benefits

Comp & perks

Performance-based incentives
401k with company match
Healthcare coverage
Broad range of other benefits
Inclusive workplace
Special accommodations during recruitment