Description

You will act as an individual contributor focused on data exploration, quantitative methodology, and statistical modeling to optimize global supply chain responsiveness.

Responsibilities

• Partner with global supply chain functions to translate business problems into analytical hypotheses.
• Identify new machine learning and data science use cases by exploring diverse datasets and designing prototype models.
• Perform hands-on data analysis and modeling to deliver insights and recommendations across the supply chain portfolio.
• Build functional applications, interactive dashboards, and scenario planning tools for end-users.
• Develop data wrangling workflows and semantic database objects designed for business consumption.

Required Skills

• 5+ years of hands-on experience in analytics, data science, or business intelligence.
• 3+ years of experience in supply chain, operations, procurement, consulting, or life sciences.
• Proficiency in Python (pandas, numpy, sklearn), R, or SAS for exploratory data analysis and modeling.
• Strong SQL skills for complex querying and performance optimization.
• Experience building interactive visualizations using Plotly Dash, QuickSight, or Tableau.
• Expertise in sourcing, merging, and cleansing datasets using Databricks, AWS Glue, Alteryx, or Python.
• Working knowledge of AWS cloud platforms including S3, Athena, Redshift, Glue, and SageMaker.
• Practical experience with GitHub, Jupyter Notebook, and Jira.
• Foundational understanding of data warehousing, design, modeling, and data engineering.
• Experience working with large-scale ERP systems such as Oracle or SAP.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree