{"id":2243111,"url":"https://alion.io/job/nestle-expert-data-scientist-commercial","title":"Expert Data Scientist (Commercial)","company":{"id":447067,"name":"Nestlé","domain":"nestle.com","url":"https://alion.io/company/nestle-7","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"A","score":100,"open_postings":25,"ghost_share":0,"stale_share":0.08,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Saint Louis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":133000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":133000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Hallucination","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Ray","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-23T03:46:50Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"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.\nPosition Summary\nDigital 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.\nAs 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.\nLead the design, development, validation, and deployment of advanced statistical, machine learning, optimization, and AI solutions to solve complex commercial and marketing business problems\nDesign, develop, evaluate, and deploy statistical, predictive, optimization, machine learning, and Generative AI models for consumer-facing and go-to-market applications\nDesign and operationalize GenAI solutions, including RAG pipelines, AI agents, copilots, and multimodal AI applications, where appropriate to power marketing and commercial workflow processes\nPartner 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.\nGuide model deployment strategies including AIOps/MLOps, monitoring, model governance, and lifecycle management\nDevelop reusable frameworks, accelerators, and best practices that improve the scalability and maintainability of AI solutions\nMentor junior data scientists and provide thought leadership on emerging technologies such as agentic AI, knowledge graphs, and autonomous decision-making systems\nRequirements\nBachelor's degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field\n7+ 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\n5+ years of experience designing, developing, validating and deploying machine learning solutions (e.g., TensorFlow, 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\n3+ 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)\n1+ years of experience designing, fine-tuning, evaluating, and deploying LLM-based applications for commercial or marketing use cases (e.g., content generation, campaign optimization, or consumer insight mining)\n1+ years of experience with cloud computing platforms (e.g., Azure, AWS, GCP) and production AI system design\nOther\nMaster's or PhD in Data Science, Applied Statistics, Marketing Analytics, Economics, Computer Science, or a related field (or an MBA) is preferred\nExperience partnering with Marketing, Sales, and Consumer Insights teams to design AI-enabled workflows across areas such as campaign optimization, consumer engagement, pricing and promotion analytics, media/marketing mix modeling, or digital commerce is preferred\nFamiliarity with the commercial/CPG go-to-market landscape - including retail media, shopper marketing, category management, or direct-to-consumer channels is preferred\nKnowledge of database systems, data warehousing, and distributed computing frameworks (e.g., SQL, NoSQL, Hadoop, Spark, or Ray) is preferred\nUnderstanding of agentic AI, knowledge graphs, and autonomous decision-making systems, along with expertise in GenAI models (e.g., GANs and diffusion models) and building LLM-based solutions such as RAG pipelines, copilots, and multimodal AI applications, is preferred\nExperience operationalizing AI solutions through AIOps/MLOps frameworks, model governance, and enterprise AI lifecycle management, including responsible AI principles such as fairness, explainability, hallucination detection, and AI risk management, is preferred\nDon’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.\nSalary: $133,000.00 to $188,000.00 per year\nBonus Eligibility: Yes\nThe 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.\nNestlé 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\nIt is our business imperative to remain a very inclusive workplace.\nTo 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.\nThe 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  or please dial 711 and provide this number to the operator: 1-800-321-6467.\nThis position is not eligible for Visa Sponsorship.\nReview our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.\nJob Requisition: 419719\nDriven 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.\nPosition Summary\nDigital 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.\nAs 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.\nLead the design, development, validation, and deployment of advanced statistical, machine learning, optimization, and AI solutions to solve complex commercial and marketing business problems\nDesign, develop, evaluate, and deploy statistical, predictive, optimization, machine learning, and Generative AI models for consumer-facing and go-to-market applications\nDesign and operationalize GenAI solutions, including RAG pipelines, AI agents, copilots, and multimodal AI applications, where appropriate to power marketing and commercial workflow processes\nPartner 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.\nGuide model deployment strategies including AIOps/MLOps, monitoring, model governance, and lifecycle management\nDevelop reusable frameworks, accelerators, and best practices that improve the scalability and maintainability of AI solutions\nMentor junior data scientists and provide thought leadership on emerging technologies such as agentic AI, knowledge graphs, and autonomous decision-making systems\nRequirements\nBachelor's degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field\n7+ 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\n5+ years of experience designing, developing, validating and deploying machine learning solutions (e.g., TensorFlow, 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\n3+ 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)\n1+ years of experience designing, fine-tuning, evaluating, and deploying LLM-based applications for commercial or marketing use cases (e.g., content generation, campaign optimization, or consumer insight mining)\n1+ years of experience with cloud computing platforms (e.g., Azure, AWS, GCP) and production AI system design\nOther\nMaster's or PhD in Data Science, Applied Statistics, Marketing Analytics, 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