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# Expert Commercial Data Scientist

- **Company:** Nestlé Purina
- **Location:** St. Louis, MO, United States
- **Experience:** Experienced
- **Salary:** $133,000.0 - $188,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Frameworks, Graph Database, Machine Learning, Microsoft Copilot, Retrieval-Augmented Generation, Generative AI, Agentic-AI, Information Technology, Machine Learning Operations, AIOps
- **Published:** October 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6c10926ef27ee3ef

## About the Role

* 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

Other

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

Don't meet all the qualifications listed under "other"? These are preferred, but not required. When you apply for a role with Nestlé Purina, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.

Salary: $133,000 to $188,000 per year

## Description

Digital Transformation is at the center of all that we do. With data-driven innovators passionate about making a difference in the lives of pets, we create cutting-edge digital business models that solve complex problems. You'll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history.

As an Expert Commercial Data Scientist at Nestlé Purina, you'll support enterprise-wide AI and machine learning use case creation, deployment, and operationalization across critical business initiatives that drive significant value and transformative outcomes. This role sits at the intersection of technical depth and commercial impact, helping build the connected digital space that powers how we reach consumers across channels. You'll bring a consumer lens to your work, partnering with commercial and marketing teams to solve challenges across retail and direct consumer engagement, and translating emerging AI technologies into measurable business results.

 * Act as a trusted data science and AI advisor to brand, marketing, sales, and category leaders, helping them reimagine ways of working, identify high-value opportunities, frame ambiguous business problems, 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 for complex consumer-facing and go-to-market business problems
 * Design and operationalize GenAI solutions, including RAG pipelines, AI agents, copilots, and multimodal AI applications, where appropriate to power marketing and commercial workflow processes
 * Guide model deployment strategies including AIOps/MLOps, monitoring, model governance, and lifecycle management
 * Develop 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