Expert Data Scientist

Nestlé Purina seeks an Expert Data Scientist onsite in St. Louis, MO, offering USD 130,000 - 188,000 per year to lead enterprise-wide AI and ML use case creation, deployment, and operationalization across critical commercial initiatives, translating strategic priorities into AI solutions for retail and direct consumer engagement.

Responsibilities

• Oversee the development and rollout of advanced machine learning, optimization, and AI solutions to address complex commercial challenges
• Design, train, evaluate, and deploy scalable predictive and Generative AI models for enterprise platforms and consumer-facing applications
• Develop and operationalize large language model based solutions including retrieval augmented generation pipelines, AI agents, copilots, and multimodal AI apps
• Collaborate with business and commercial leaders to translate strategic priorities into AI offerings and drive adoption across retail and consumer touchpoints
• Steer model deployment strategies including AIOps/MLOps, monitoring, governance, and lifecycle management
• Create reusable frameworks, accelerators, and best practices to enhance the scalability and maintainability of AI solutions
• Mentor junior data scientists and contribute thought leadership on emerging technologies such as agentic AI, knowledge graphs, and autonomous decision-making systems

Requirements

• Bachelor's degree in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field
• 7+ years of professional experience, with 5+ years in data science, advanced analytics, and machine learning
• 5+ years of experience with machine learning algorithms and frameworks (eg, 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 (eg, Azure, AWS, GCP) and production AI system design

Technologies

• TensorFlow
• scikit-learn
• Python
• SQL
• Azure
• AWS
• GCP
• Hadoop
• Spark
• Ray
• NoSQL

Benefits

• Performance-based incentives
• 401k with company match
• Healthcare coverage
• Broad range of other benefits

Other

• 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 (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 (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