Data Scientist College Grad- Bachelor's​/Master's; Austin, TX

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry.

The work we do together advances the world’s technology.

Salary: $80,000.00 - $

Location:

Austin,TXYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees.

We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

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 position will be part of the Logistics Data Repository (LDR) team, which serves as 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.

• 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.
• 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 business problems through data-driven solutions.
• Support AI-driven and intelligent automation initiatives and contribute to identifying opportunities where AI can 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.

• Strong foundation in Python and SQL
• Understanding of Data Structures and Algorithms
• Exposure to PySpark, Apache Spark, or distributed data processing frameworks
• Knowledge of Data Engineering, ETL/ELT, and Data Warehousing concepts
• Familiarity with cloud platforms such as Azure, AWS, or GCP
• Exposure to Databricks, Airflow, or similar data engineering tools is preferred
• Understanding of data analysis, statistics, and machine learning fundamentals
• Experience with Pandas, Num Py, or similar data-processing libraries
• Familiarity with data visualization tools such as Power BI or Tableau is a plus
• Exposure to Generative AI, LLMs, or AI-assisted development tools is desirable

• 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,…