Data Scientist – Machine Learning & Optimization

About the role

Digital transformation is at the heart of Nestlé Purina’s mission to improve pet care. As a Data Scientist you will design, build, and deploy machine‑learning and optimization models that deliver real business value across manufacturing, marketing, supply chain, finance, and consumer insights.

Key responsibilities

• 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 needs into scalable analytical solutions.
• Perform data wrangling, feature engineering, exploratory 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 such as retrieval‑augmented generation, copilots, and intelligent assistants.
• Contribute to AIOps/MLOps practices including model versioning, monitoring, CI/CD pipelines, and responsible AI processes.

Required profile

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.
• 3+ years of professional experience in data science, analytics, or machine learning, including optimization or predictive modeling.
• 3+ years of experience with Python (scikit‑learn, pandas, PySpark, NumPy) and SQL for data manipulation and analysis.
• 1+ year of experience with cloud platforms (Azure, AWS, or GCP) and DevOps/CI‑CD practices.

Required skills

• Python (scikit‑learn, pandas, PySpark, NumPy)
• SQL
• Machine‑learning and statistical modeling
• Optimization modeling
• Cloud platforms: Azure, AWS, Google Cloud Platform
• DevOps/CI‑CD
• MLOps tools: MLflow, Azure ML, SageMaker, Kubeflow
• Databricks, Snowflake, distributed data processing
• GenAI technologies (RAG, copilots, intelligent assistants)
• LLM orchestration frameworks (LangChain, Semantic Kernel)
• Vector databases
• Responsible AI practices (bias detection, explainability, governance)

What we offer

• Salary range $88,000 – $123,000 per year.
• Performance‑based incentives.
• 401(k) with company match.
• Healthcare coverage.
• Additional benefits as part of a competitive total rewards package.