Data Scientist - (B3)
Applied Materials
- Location
- Santa Clara,CA
- Work model
- On-Site
- Level
- Mid
- Salary
- $133.5k – $183.5k/yr
- H-1B history
- 125 approvals (FY2023)
- Posted
- Sep 11, 2026
About this role
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: $133,500.00 - $183,500.00 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 .
Key Responsibilities
Support GIS and Business intelligence, Big Data and AI/ML personnel that interface with business unit or function customers for the purpose of business technology alignment, solution discovery, and service management. With supervision, analyzes business requirements and/or issues, converts analysis to functional and technical specifications, and assists in the design and technical development of Business intelligence, big data and AI/ML solutions to meet business requirements. Perform and document software application and technical platform configuration, prepare and execute test scenarios and scripts (unit, integration, performance, regression, acceptance) and data conversions. May participate in new technology evaluations. With minimal supervision, provides Business Intelligence, big data and AI/ML application and platform support services to meet performance, availability, customer service level agreement, and customer satisfaction targets. Participates in reviewing and monitoring complex production systems to ensure continuous, effective performance; determines modifications as needed. Performs System analysis and debugging of applications and platforms to identify problem root causes. Completes root cause analysis for incidents and outages. With supervision, Adheres to GIS project management, software application development, testing, service management, change management, RCA and other relevant processes, standards, governance and controls. May manage execution of sox controls and testing, and support internal and external audits. Participates as a Business intelligence, Big Data or AI/ML application or project team member. With supervision, may manage small continuous improvement projects to ensure effective and efficient execution guardrails of scope, timeline, budget and quality Functional Knowledge Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities Business expertise Understands key business drivers; uses this understanding to accomplish own work Leadership No supervisory responsibilities but provides informal guidance to new team members Problem Solving Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents Impact Impacts quality of own work and the work of others on the team; works within guidelines and policies interpersonal Skills Explains complex information to others in straightforward situations Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade,