Senior Commercial Data Scientist

Work on real commercial and marketing problems using data science, machine learning, and emerging AI. In this onsite Senior Commercial Data Scientist role in St. Louis, MO, you will partner with brand, marketing, sales, and category teams to turn business questions into analytical solutions with measurable outcomes. Nestlé Purina also offers performance-based incentives, a 401k with company match, and healthcare coverage.

This position blends hands-on modeling with practical deployment in established AIOps/MLOps and model-governance practices. You will design and implement predictive and AI-driven approaches, apply Generative AI to commercial opportunities, and contribute to reusable frameworks and best practices that help scale successful work.

Responsibilities

• Act as a hands-on data science consultant for brand, marketing, sales, and category teams, partnering to understand challenges, shape ambiguous problems, identify analytical opportunities, and translate commercial priorities into data science and AI solutions that change day-to-day work
• Design, develop, validate, and implement statistical, predictive modeling, machine learning, and AI solutions for consumer-facing, go-to-market, and other commercial and marketing problems
• Explore and apply Generative AI capabilities to commercial and marketing use cases, collaborating with technical experts when specialized architecture or engineering support is needed
• Work within established AIOps/MLOps, monitoring, and model-governance practices to move solutions from experimentation into production
• Leverage and contribute to reusable frameworks, tools, and best practices to accelerate development and scale successful solutions
• Share knowledge with other data scientists and stay current on emerging AI and analytics approaches relevant to commercial and marketing applications

Requirements

• Bachelor’s degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field (education truncated in original listing, but related fields are acceptable)
• 2+ years of experience working directly with business stakeholders to translate ambiguous problems into analytical approaches and communicate technical findings in clear, business-relevant terms
• 5+ years of professional experience, including 3+ years applying data science, advanced analytics, or machine learning to business problems in areas such as marketing, consumer, commercial, e-commerce, sales, or other customer-facing domains

Preferred

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

Technologies

• Machine learning
• AI
• Generative AI
• AIOps
• MLOps

Compensation & Incentives

Salary range: USD 118,422 to 166,343 per year (good faith estimate at time of posting; final compensation may vary based on factors including knowledge, skills, abilities, and geographic location).

Bonus eligibility: Yes. Nestlé also provides a competitive total rewards package, including a 401k with company match and healthcare coverage. Incentives and/or benefits may vary by position.