Logistics Automation New College Grad- Bachelor's (Santa Clara, CA)

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 62,000 - 85,000; Full time

Job summary

Applied Materials, Inc. is seeking a data science–oriented professional to help transform AGS Logistics and Service Strategy. You will apply AI/ML, data analytics, and simulation to optimize global logistics and warehouse operations, delivering measurable efficiency and service improvements.

You will work with cross‑functional teams, leverage Gen AI tools, and develop scalable data-driven solutions while contributing to automation initiatives and strategic decision making.

Qualifications

• Bachelor's degree in Data Science / Business Analytics / CS / Statistics / Data Analytics / AIML; GPA 3.25+ preferred.
• Experience with GenAI tools and logistics / supply chain understanding; strong Python and statistics background.

Responsibilities

• Support AI/ML and data-driven solutions for logistics and warehouse operations.
• Analyze large datasets using data mining, analytics, and visualization tools to identify insights and improvement opportunities.
• Develop and evaluate network optimization models to improve supply chain efficiency and service performance.
• Build and run simulation models to assess operational scenarios and support strategic decision-making.
• Collaborate with cross-functional teams to solve complex business problems and implement scalable solutions.
• Contribute to automation initiatives that enhance operational productivity and visibility.

Skills

AI/ML fundamentals

Gen AI tools

Data mining

Python

SQL

Statistics

Operations Research

Optimization

Process Mining

Education

Bachelor's degree in Data Science / Business Analytics / CS / Statistics / Data Analytics / AIML

Tools

Gen AI tools

Process Mining tools

Simulation tools

Analytics tools

Job description

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.

What We Offer

Salary: $61,500.00 - $84,500.00

Location: Santa Clara,CA

You’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.

TEAM OVERVIEW: AGS Logistics – Service Strategy

AGS Logistics – Service Strategy is a global team focused on transforming logistics operations through Network Optimization, Automation, and AI/ML-driven solutions. We partner with cross-functional teams worldwide to improve efficiency, scalability, visibility, and decision-making across the supply chain, delivering innovative solutions that drive operational excellence and business impact.

KEY RESPONSIBILITIES

As part of the AGS Logistics - Service Strategy team, you will contribute to transforming global logistics and warehouse operations through AI/ML, Simulation, and Network Optimization initiatives. You will work on high-impact business problems, leveraging data and technology to drive operational efficiency and innovation.

• Support AI/ML and data-driven solutions for logistics and warehouse operations.
• Analyze large datasets using data mining, analytics, and visualization tools to identify insights and improvement opportunities.
• Develop and evaluate network optimization models to improve supply chain efficiency and service performance.
• Build and run simulation models to assess operational scenarios and support strategic decision-making.
• Collaborate with cross-functional teams to solve complex business problems and implement scalable solutions.
• Contribute to automation initiatives that enhance operational productivity and visibility.

TECHNICAL SKILLS

• AI/ML fundamentals and model development.
• Gen AI/ RAG /LLM tools
• Data mining, data analytics, and statistical analysis.
• Python, SQL, Process Mining and Simulation tools and related analytics tools.
• Operations Research, Optimization, and Simulation techniques.
• Strong problem-solving and data-driven decision-making skills.

REQUIREMENTS/EDUCATION

Bachelors Degree in Data Science / Business Analytics / CS / Statistics / Data Analytics / AIML GPA of 3.25 or above preferred Experience in one or more of these areas would be great GenAI tools Logistics / Supply Chain Understanding Python Statistics Applications will be reviewed on a rolling basis.

Additional Information

• Time Type: Full time
• Employee Type: New College Grad
• Travel: Yes, 10% of the Time
• Relocation Eligible: No

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users.