Data Scientist
Job Description
Data Scientist role in St. Louis, MO onsite, with a salary range of USD 88,000 - 123,000 per year, focused on building and deploying machine learning and optimization models to drive business value across Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights.
Responsibilities
- Develop and deploy machine learning, statistical, and optimization models to address business problems and improve operational performance
- Support the development and maintenance of optimization engines that underpin high-value business decisions
- Collaborate with product owners, data engineers, and business stakeholders to translate 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 and intelligent assistants
- Contribute to AIOps and MLOps practices such as model versioning, monitoring, CI/CD pipelines, and responsible AI processes
Requirements
- Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field
- 3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models
- 3+ years of experience with Python (scikit-learn, pandas, PySpark, NumPy) and SQL for data manipulation and analysis
- 1+ years of experience working with cloud platforms (Azure, AWS, or GCP) and DevOps/CI-CD practices
Technologies
- Python, scikit-learn, pandas, PySpark, NumPy
- SQL
- Cloud: Azure, AWS, GCP
- MLflow, Azure ML, SageMaker, Kubeflow
- Databricks, Snowflake
- LangChain, Semantic Kernel, vector databases
Benefits
- Performance-based incentives
- 401k with company match
- Healthcare coverage
- Broad range of other benefits
Position Summary
Digital transformation is central to our work. We bring together data driven innovators who aim to improve the lives of pets by building cutting edge digital business models that solve complex problems. This role places you at the real time edge of digital advancements and helps sustain leadership in the pet care category, contributing to a lasting impact within Purina’s long standing history.
Other
- Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field is preferred
- Experience with MLOps tools (eg MLflow, Azure ML, SageMaker, Kubeflow) and production model deployment is preferred
- Experience 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 (LangChain or Semantic Kernel), prompt engineering, and vector databases is preferred
- Familiarity with responsible AI practices including bias detection, explainability, and governance is preferred
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