Expert Commercial Data Scientist

Nestlé Purina; St. Louis (MO); On-site; USD 133,000 - 188,000; Full time

Benefits offered by this job

Healthcare coverage

401k: Company match

Performance-based incentives

Competitive total rewards package

Job summary

Nestlé Purina in St. Louis, MO is seeking an Expert Commercial Data Scientist to shape AI-enabled commercial outcomes. This onsite role partners with marketing and sales to translate advanced analytics into scalable, value-driven solutions.

You will build, deploy, and operationalize models end-to-end, guiding business leaders on high-value opportunities and turning strategic priorities into practical data science implementations.

Qualifications

• Bachelor’s degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field.
• 3+ years advising senior business stakeholders, shaping ambiguous strategic problems, influencing decisions, and translating AI concepts into outcomes.
• 7+ years professional experience, including 5+ years applying data science, analytics, or ML to marketing, commerce, or customer-facing areas.

Responsibilities

• Advise brand, marketing, sales, and category leaders by reframing problems and translating priorities into scalable AI solutions.
• Lead design, validation, deployment, and adoption of advanced analytics and GenAI solutions for consumer-facing challenges.
• Design and operationalize GenAI capabilities, including RAG pipelines, AI agents, copilots, and multimodal AI.
• Direct deployment strategy with AIOps/MLOps, monitoring, governance, and lifecycle management.
• Create reusable frameworks and accelerators to improve scalability and maintainability of AI solutions.
• Mentor junior data scientists and explore agentic AI, knowledge graphs, and autonomous decision-making systems.

Skills

Advising senior stakeholders

Strategic problem framing

Business impact focus

Education

Bachelor’s degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or related field

Master’s or PhD in Data Science, Analytics, Marketing (preferred) or MBA

Tools

AIOps/MLOps

GenAI

RAG pipelines

AI agents

Copilots

Multimodal AI

Knowledge graphs

Agentic AI

Job description

Nestlé Purina is seeking an Expert Commercial Data Scientist to help shape how AI and machine learning create measurable commercial outcomes across the enterprise. In this onsite role in St. Louis, MO, you will partner with commercial and marketing teams to turn advanced analytics and GenAI capabilities into scalable solutions used in retail and direct consumer engagement.

This position focuses on building, deploying, and operationalizing models end to end, while advising business leaders on high-value opportunities and translating ambiguous strategic priorities into practical AI and data science implementations.

What you’ll do

• Serve as a trusted advisor to brand, marketing, sales, and category leaders by reimagining ways of working, identifying high-value opportunities, framing ambiguous business problems, and translating strategic priorities into scalable AI and advanced analytics
• Lead the design, development, validation, deployment, and adoption of advanced statistical, predictive, optimization, machine learning, and Generative AI solutions for complex consumer-facing and go-to-market challenges
• Design and operationalize GenAI solutions, including RAG pipelines, AI agents, copilots, and multimodal AI applications, where appropriate to support marketing and commercial workflows
• Direct model deployment strategy with AIOps/MLOps, monitoring, model governance, and lifecycle management
• Create reusable frameworks, accelerators, and best practices that improve the scalability and maintainability of AI solutions
• Mentor junior data scientists and provide thought leadership on emerging technologies such as agentic AI, knowledge graphs, and autonomous decision-making systems

Required qualifications

• 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 in marketing, consumer, commercial, e-commerce, sales, or other related customer-facing areas

Technology focus

• AIOps, MLOps
• GenAI
• RAG pipelines
• AI agents, copilots
• Multimodal AI
• Agentic AI
• Knowledge graphs
• Autonomous decision-making systems

Compensation and benefits

• Salary: $133,000 to $188,000 per year
• Bonus eligibility: Yes
• 401k: Company match
• Healthcare coverage
• Performance-based incentives
• Competitive total rewards package

Preferred qualifications

• Master’s or PhD in Data Science, Applied Statistics, Marketing Analytics, Economics, Computer Science, or a related field, or an MBA
• Experience operationalizing AI solutions through AIOps/MLOps frameworks, model governance, and enterprise AI lifecycle management