Data Scientist New College Grad- Bachelor's/Master's

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 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