Hiring: Data Scientist Company: Nestlé Purina North America Location: St Louis, MO Job Posted Time: 2026-09-02 17:57:08 Employment Type: Full-time Target Skills & Keywords: Machine Learning, Optimization Models, Python, SQL, Cloud Computing (Azure/AWS/GCP), MLOps, GenAI, RAG, Data Wrangling, Feature Engineering, CI/CD, Databricks, Snowflake, LLM Orchestration Experience: - 3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models - 3+ years of experience in Python (e.g., scikit-learn, pandas, PySpark, and NumPy) and SQL for data manipulation and analysis - 1+ years of experience working with cloud computing platforms (e.g., Azure, AWS, or GCP) and DevOps/CI-CD practices Required Skills: - Develop and deploy machine learning, statistical, and optimization models that solve business problems and improve operational performance - Support the development and maintenance of optimization engines that drive high-value business decisions - Collaborate with product owners, data engineers, and business stakeholders to translate business needs into scalable analytical solutions - Perform data wrangling, feature engineering, exploratory data analysis, and model evaluation using Python and SQL - Design and maintain reusable analytics workflows and automated pipelines for production-grade deployment - Support GenAI-enabled applications including retrieval augmented generation (RAG), copilots, and intelligent assistants - Contribute to AIOps/MLOps practices including model versioning, monitoring, continuous integration and continuous deployment pipelines, and responsible AI processes Qualifications: - Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field - Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred - Experience with MLOps tools (e.g., MLflow, Azure ML, SageMaker, or Kubeflow) and model deployment in a production environment is preferred - Experience working with Databricks, Snowflake, or distributed data processing environments is preferred - Experience building GenAI-enabled applications such as RAG, copilots, or intelligent assistants is preferred - Familiarity with LLM orchestration frameworks (e.g., LangChain or Semantic Kernel), prompt engineering, and vector databases is preferred - Familiarity with responsible AI practices including bias detection, explainability, and governance is preferred Compensation: - Approximate pay range: $88,000 to $123,000 per year - Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location - 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 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!