Role Overview
The Data Scientist will be part of the Logistics Data Repository (LDR) team, which serves as the central data and analytics platform for logistics operations. The team integrates data from transportation, ERP, and other enterprise systems, transforming it into a unified data foundation that supports reporting, analytics, operational visibility, AI-driven initiatives, and business decision-making.
What You Will Do
Develop and support ETL/ELT pipelines using Python, SQL, PySpark, and modern data engineering frameworks. Build, test, and optimize data pipelines and analytics-ready datasets on cloud data platforms. Perform data analysis and exploratory data investigations to identify trends, anomalies, and business insights.
Why It Might Be a Fit
The ideal candidate will have a strong foundation in Python and SQL, understanding of Data Structures and Algorithms, and experience with Pandas, NumPy, or similar data-processing libraries. Familiarity with cloud platforms such as Azure, AWS, or GCP and data visualization tools like Power BI or Tableau is a plus.
Requirements
- Bachelors or Masters degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, Artificial Intelligence, Machine Learning, or related field
- GPA of 3.0 or above preferred
- Strong analytical, problem-solving, communication, and teamwork skills with a demonstrated passion for working with data and technology
Benefits
- Comprehensive benefits package
- Bonus and stock award program
To apply for this job please visit careers.appliedmaterials.com.

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