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Applied Materials

Data Scientist - (B3)

Santa Clara, CA,US, US

Applied Materials is hiring a Data Scientist - (B3) in Santa Clara, CA,US, US. Posted September 21, 2026.

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Job at a glance

Company
Applied Materials
Location
Santa Clara, CA,US, US
Pay
$133,500 – $183,500
Workplace
On-site
Employment
Full-time
Sector
Engineering & Technology
Posted
September 21, 2026
Apply by
March 20, 2027

About the job

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

Qualifications

Education:

Bachelor's Degree (Required)

Skills

Python (Programming Language)

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Shift:

10-Day 8-Hr (United States of America)

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Referral Payment Plan:

None

Salary Range:

$133,500.00 - $183,500.00

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 committed to diversity in the workplace. All 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.