Expert Data Scientist

Nestle Operational Services Worldwide SA•St. Louis, MO

7d•$130,000 - $188,000

About The Position

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 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 teams to solve challenges across retail and direct consumer engagement, and translating emerging AI technologies into measurable business results.

Requirements

Bachelor's degree in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field
7+ years of professional experience, with 5+ of those years in data science, advanced analytics, and machine learning
5+ years of experience with machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn) for predictive modeling and deploying AI solutions in a production environment
3+ years of experience in Python/SQL for advanced analytics, data engineering, and model development
2+ years of experience designing, fine-tuning, evaluating, and deploying LLM-based applications for various data science use cases
2+ years of experience with cloud computing platforms (e.g., Azure, AWS, GCP) and production AI system design

Nice To Haves

Master's or PhD in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field (or an MBA) is preferred
Experience 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, or digital commerce is preferred
Knowledge of database systems, data warehousing, and distributed computing frameworks (e.g., SQL, NoSQL, Hadoop, Spark, or Ray) is preferred
Understanding 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
Experience 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

Responsibilities

Lead the development and deployment of advanced machine learning, optimization, and AI solutions to solve complex business problems across the commercial organization
Design, train, evaluate, and deploy scalable predictive and Generative AI models for enterprise and consumer-facing applications
Build and operationalize LLM-based solutions including retrieval augmented generation (RAG) pipelines, AI agents, copilots, and multimodal AI applications
Partner with business and commercial leaders to translate strategic priorities into AI 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