Expert Commercial Data Scientist

Nestle

. Act as a trusted data science and AI advisor to brand, marketing, sales, and category leaders .

Posted 10/27/2026full-timeSt. Louis • Missouri • United StatesSeniorLead💰 $133,000 - $188,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced statistical methods, machine learning, and Generative AI solutions, with a strong focus on operationalizing AI technologies to drive business outcomes. Proven ability to mentor teams and translate complex analytical concepts into actionable strategies for marketing and consumer engagement.

Highest-signal resume keywords

Advanced Statistical MethodsMachine Learning SolutionsGenerative AI SolutionsAIOps/MLOps FrameworksModel Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SciencePredictive AnalyticsOptimization TechniquesAI Solution DesignStatistical AnalysisMachine LearningGenerative AIModel DeploymentLifecycle ManagementKnowledge Graphs

Soft Skills

Influencing DecisionsMentoringThought LeadershipStrategic Problem SolvingCollaboration

Tools & Technologies

RAG PipelinesAI AgentsCopilotsMultimodal AI ApplicationsEnterprise AI Lifecycle Management

Industry Keywords

Marketing AnalyticsConsumer EngagementE-commerceCommercial StrategyData-Driven Decision Making

About the role

Key responsibilities & impact

Act as a trusted data science and AI advisor to brand, marketing, sales, and category leaders
Identify high-value opportunities and translate strategic priorities into scalable AI and advanced analytics solutions
Lead the design, development, validation, deployment, and adoption of advanced statistical, predictive, optimization, machine learning, and Generative AI solutions
Design and operationalize GenAI solutions, including RAG pipelines, AI agents, copilots, and multimodal AI applications
Guide model deployment strategies, monitoring, model governance, and lifecycle management
Develop reusable frameworks, accelerators, and best practices to improve scalability and maintainability
Mentor junior data scientists and provide thought leadership on agentic AI, knowledge graphs, and autonomous decision-making systems
Partner with commercial and marketing teams to solve retail and direct consumer engagement challenges and translate emerging AI technologies into measurable business results

Requirements

What you’ll need

Bachelor's degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field
3+ years of experience advising senior business stakeholders, shaping ambiguous strategic problems, influencing decisions, and translating complex AI and analytical concepts into business outcomes
7+ years of professional experience, including 5+ 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
This position is not eligible for Visa Sponsorship

Benefits

Comp & perks

Performance-based incentives
401k with company match
Healthcare coverage
Competitive total rewards package
Inclusive workplace
Reasonable accommodations for applicants with disabilities