Description

You will act as an individual contributor within the Global Supply Chain Data Science and Analytics team, focusing on data exploration, quantitative methodology, and statistical modeling.

This role is remote.

Responsibilities

• Partner with global supply chain functions including Network Planning, Procurement, Materials Planning, Logistics, and Distribution to deliver analytics.
• Identify new use cases for applied data science and machine learning by exploring datasets and designing prototype models.
• Translate business problems into analytical questions and hypotheses using statistical methods.
• Build functional apps, interactive dashboards, and data wrangling workflows 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 exploratory data analysis and modeling using Python (pandas, numpy, sklearn), R, or SAS.
• Strong SQL skills for complex querying, analysis, and performance optimization.
• Experience building interactive data visualizations using Plotly Dash, QuickSight, or Tableau.
• Experience sourcing, merging, and cleansing datasets using Databricks, AWS Glue, Alteryx, or Python.
• Experience working on AWS cloud platforms including S3, Athena, Redshift, Glue, and SageMaker.
• Practical experience with GitHub, Jupyter Notebook, and Jira.

Preferred Skills

• Foundational understanding of data warehousing, design, modeling, and data engineering.
• Experience working with large-scale ERP systems such as Oracle or SAP.

Key Skills

Education

Any Graduate