
Expert Commercial Data Scientist
St. Louis, MOJob$133–188K/yrSeen 6 days agoSeen in employer's feed 6 days ago
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Job overview
The Expert Commercial Data Scientist supports enterprise-wide AI and machine learning use case creation, deployment, and operationalization across business initiatives. The role partners with commercial and marketing teams to address retail and direct consumer engagement challenges, translating emerging AI technologies into measurable business results. It also provides strategic advisory support, guides solution deployment and governance, develops reusable frameworks, and mentors junior data scientists.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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 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.
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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
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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
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Design and operationalize GenAI solutions, including RAG pipelines, AI agents, copilots, and multimodal AI applications, where appropriate to power marketing and commercial workflow processes
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Guide model deployment strategies including AIOps/MLOps, monitoring, model governance, and lifecycle management
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Develop reusable frameworks, accelerators, and best practices that improve the scalability and maintainability of AI solutions
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Mentor junior data scientists and provide thought leadership on emerging technologies such as agentic AI, knowledge graphs, and autonomous decision-making systems
Requirements
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Bachelor's degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field
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3+ years of experience advising senior business stakeholders, shaping ambiguous strategic problems, influencing decisions, and translating complex AI and analytical concepts into business outcomes
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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
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Master's or PhD in Data Science, Applied Statistics, Marketing Analytics, Economics, Computer Science, or a related field (or an MBA) is preferred
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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
Bonus Eligibility: Yes
The pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. It is not typical for an individual to be hired at top of range.
Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at https://www.nestlejobs.com/nestle-in-the-us-benefits
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at [email protected] or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy .
Job Requisition: 425167
How this job compares
Set against the 4,830 open Data Scientist jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$133–188K/yr
- Missouri median$125–217K/yr49 salary ranges
- US median$135–213K/yr3,705 salary ranges
This range's midpoint, $161K, is 3% below the Missouri median midpoint ($166K) — in the middle half of Data Scientist salary ranges in Missouri.
- Openings
- Olive Jobs lists 62 open Data Scientist jobs in Missouri and 4,830 across the US. 6% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 7 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,140 postings).
- Education
- This posting asks for a bachelor's degree; 2,278 of the 4,830 open Data Scientist jobs (47%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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