Logistics Data Scientist & AI-Driven Analytics

Applied Materials, Inc.; Austin (TX); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Stock options

Bonus program

Comprehensive benefits

Job summary

Applied Materials, Inc. is seeking a data engineering professional to design and optimize ETL/ELT pipelines using Python, SQL, and PySpark. You will build analytics-ready datasets on cloud platforms, perform data analysis, and support AI-driven initiatives across the global logistics domain.

The role collaborates with Data Engineers, Data Scientists, and business stakeholders to deliver data-driven solutions, ensuring data quality and operational excellence in a fast-paced environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, AI/ML, or related field
• GPA of 3.0 or above preferred
• Strong analytical, problem-solving, communication, and teamwork skills with data and technology passion

Responsibilities

• 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 insights.
• Support analytics, reporting, and machine learning initiatives by preparing and validating high-quality data.
• Collaborate with Data Engineers, Data Scientists, and stakeholders to solve complex data problems.
• Support AI-driven and intelligent automation initiatives and identify opportunities for AI in processes.
• Assist with data quality, monitoring, troubleshooting, and operational support activities.
• Participate in design discussions, code reviews, and continuous improvement initiatives.

Skills

Python

SQL

PySpark

Data Structures

Algorithms

ML Fundamentals

Education

Bachelor's or Master's in CS/DS/IS/SE/AI

Tools

Databricks

Airflow

Power BI

Tableau

Pandas

Job description

Applied Materials, Inc. is seeking a data engineering professional to design and optimize ETL/ELT pipelines using Python, SQL, and PySpark. You will build analytics-ready datasets on cloud platforms, perform data analysis, and support AI-driven initiatives across the global logistics domain.

The role collaborates with Data Engineers, Data Scientists, and business stakeholders to deliver data-driven solutions, ensuring data quality and operational excellence in a fast-paced environment.