Expert Commercial Data Scientist
Listed on 2026-10-30
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
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.
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
- 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
- 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
Salary: $133,000 to $188,000 per year
Bonus Eligibility:
Yes
Thepay range provided is a good faith estimate for the position at the time of posting.…
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