Applied Materials is seeking a New College Grad Data Scientist to join its Logistics Data Repository team in Austin, TX on an onsite basis. In this role, you will help transform logistics and enterprise data into analytics-ready assets that support reporting, analytics, and AI-driven initiatives across global logistics operations.
Working within the Logistics Data Management organization, you will contribute to building and maintaining ETL/ELT pipelines, validating data quality, and supporting downstream machine learning and automation efforts.
What you’ll 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.
- Conduct data analysis and exploratory investigations to identify trends, anomalies, and business insights.
- Support analytics, reporting, and machine learning initiatives by preparing and validating high-quality data.
- Collaborate with Data Engineers, Data Scientists, and business stakeholders to solve complex problems using data-driven solutions.
- Contribute to AI-driven and intelligent automation initiatives, including identifying opportunities for AI to improve business processes and engineering productivity.
- Assist with data quality, monitoring, troubleshooting, and operational support activities.
- Participate in design discussions, code reviews, and continuous improvement initiatives.
Required qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, Artificial Intelligence, Machine Learning, or a related field.
- GPA 3.0 or above preferred.
- Strong analytical, problem-solving, communication, and teamwork skills, with a demonstrated passion for working with data and technology.
Technologies you’ll work with
- Python, SQL, PySpark, Apache Spark, Azure, AWS, GCP, Databricks, Airflow
- Pandas, NumPy, Power BI, Tableau
- Generative AI, LLMs
Team context
The Logistics Data Management (LDM) organization enables data-driven logistics operations across the global supply chain through Supplier Connectivity, Freight Audit & Payment, Transportation Management System (TMS) Optimization, and Data & Analytics platforms. This role sits on the Logistics Data Repository (LDR) team, the central data and analytics platform for logistics operations.
LDR 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.
Compensation and details
- Salary: USD 80,000 - 110,000 per year
- Location: Austin, TX (onsite)
- Time Type: Full time
- Employee Type: New College Grad
- Travel: Yes, 10% of the time
- Relocation Eligible: No
What Applied Materials offers
- A supportive work culture that encourages learning, development, and career growth
- Programs and support designed to encourage personal and professional growth and care for you at work, at home, or wherever you may go
- Learn more about benefits
How to apply
- Applications will be reviewed on a rolling basis.
- Please apply by November 30, 2026. The position may close early based on application volume or candidate selection.
