Expert Data Scientist; Commercial

Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness—We are Proudly Connected.

Purely Driven.

Position Summary

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 createcutting-edge digital business models that solve complex problems.

You’llbe at the forefront of digital advancements as they happen in real time, as well as ensure weremaina leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history.

As an Expert 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.

• Lead the design, development, validation, and deployment of advanced statistical, machine learning, optimization, and AI solutions to solve complex commercial and marketing business problems
• Design, develop, evaluate, and deploy statistical, predictive, optimization, machine learning, and Generative AI models for consumer-facing and go-to-market applications
• Design and operationalize GenAI solutions, including RAG pipelines, AI agents, copilots, and multimodal AI applications, where appropriate to power marketing and commercial workflow processes
• Partner with brand, marketing, sales, and category leaders to frame business problems, identify analytical opportunities, translate strategic priorities into AI and advanced analytics solutions, and drive adoption across retail and consumer channels.
• 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

Requirements

• Bachelor's degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field
• 7+ years of professional experience, with 5+ of those years in data science, advanced analytics, and machine learning applied to commercial, marketing, or consumer-facing problems
• 5+ years of experience designing, developing, validating and deploying machine learning solutions (e.g., Tensor Flow, scikit-learn) in production environments, ideally supporting use cases such as marketing mix modeling, customer segmentation, personalization, pricing/promotion, demand or media optimization, or churn/lifetime-value prediction
• 3+ years of experience in Python/SQL for advanced analytics, data engineering, and model development, including work with marketing, sales, e-commerce, loyalty, or syndicated consumer datasets (e.g., Nielsen/IRI, CRM, digital media, or POS data)
• 1+ years of experience…