New Grad Data Scientist — Logistics & AI Analytics (Austin)

DataJobs; Austin (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

Applied Materials is seeking a New College Grad Data Scientist to join the Logistics Data Repository team in Austin, TX. This onsite role involves transforming logistics and enterprise data into analytics-ready assets to support reporting, analytics, and AI-driven initiatives across global logistics operations.

You will help build ETL/ELT pipelines, validate data quality, and support downstream machine learning and automation efforts while collaborating with Data Engineers, Data Scientists, and

Qualifications

• Degree in CS/DS/IS or related field; GPA 3.0+ preferred.

Responsibilities

• Develop and support ETL/ELT pipelines using Python, SQL, PySpark and modern data engineering frameworks.
• Build, test, and optimize analytics-ready datasets on cloud data platforms.
• Conduct data analysis to identify trends, anomalies, and business insights.
• Assist with data quality, monitoring, and operational support activities.
• Collaborate with Data Engineers, Data Scientists, and stakeholders to solve data-driven problems.
• Contribute to AI-driven initiatives and automation efforts.

Skills

Degree in CS/DS/IS

GPA 3.0+

Analytical skills

Teamwork

Communication

Education

Bachelor’s or Master’s degree in CS/DS/IS

Tools

Python

SQL

PySpark

Azure

AWS

GCP

Databricks

Airflow

Pandas

NumPy

Power BI

Tableau

Job description

Applied Materials is seeking a New College Grad Data Scientist to join the Logistics Data Repository team in Austin, TX. This onsite role involves transforming logistics and enterprise data into analytics-ready assets to support reporting, analytics, and AI-driven initiatives across global logistics operations.

You will help build ETL/ELT pipelines, validate data quality, and support downstream machine learning and automation efforts while collaborating with Data Engineers, Data Scientists, and