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Semiconductor Data Scientist Jobs (NOW HIRING)

Data Scientist

Santa Clara, CA · On-site +1

$170K - $234K/yr

... generation semiconductor chips. Join us and push the boundaries of materials science and ... Interacts with product and service teams to identify questions and issues for data analysis and ...

Data Scientist

Santa Clara, CA · On-site +1

$142K - $196K/yr

... generation semiconductor chips. Join us and push the boundaries of materials science and ... Interfaces with internal customers for requirements analysis and compiles data for scheduled or ...

Data Scientist

Santa Clara, CA · On-site +1

$142K - $196K/yr

... generation semiconductor chips. Join us and push the boundaries of materials science and ... Interfaces with internal customers for requirements analysis and compiles data for scheduled or ...

Data Scientist

Santa Clara, CA · On-site +1

$142K - $196K/yr

... generation semiconductor chips. Join us and push the boundaries of materials science and ... Interfaces with internal customers for requirements analysis and compiles data for scheduled or ...

Data Scientist

Santa Clara, CA · On-site +1

$170K - $234K/yr

... generation semiconductor chips. Join us and push the boundaries of materials science and ... Interacts with product and service teams to identify questions and issues for data analysis and ...

The impact you'll make Lam Research is looking for a Performance Data Scientist in Lam's Global ... Semiconductor industry experience. * Strong expertise in advanced statistics, multivariate modeling ...

Data Scientist

Santa Clara, CA · On-site

$130K - $150K/yr

Data Scientist Job Location: Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time ... semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality ...

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Data Scientist Job Location: Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time ... semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality ...

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... Principal Data Scientists also collaborate closely with cross-functional teams to develop ...

ASIC Gen-AI Data Scientist

San Jose, CA · On-site

$145K - $336K/yr

Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor ... Data Science, Statistics, Artificial Intelligence, or a related field * Minimum 4 years of hands-on ...

ASIC Gen-AI Data Scientist

Folsom, CA · On-site +1

$119K - $286K/yr

... Data Science and IT to prototype, build, and scale practical AI-driven solutions that improve ... Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor ...

ASIC Gen-AI Data Scientist

San Jose, CA · On-site

$119K - $286K/yr

Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor ... Data Science, Statistics, Artificial Intelligence, or a related field. * Minimum 2 years of hands ...

ASIC Gen-AI Data Scientist

Minneapolis, MN · On-site +1

$119K - $286K/yr

... Data Science and IT to prototype, build, and scale practical AI-driven solutions that improve ... Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor ...

ASIC Gen-AI Data Scientist

San Jose, CA · On-site +1

$119K - $286K/yr

... Data Science and IT to prototype, build, and scale practical AI-driven solutions that improve ... Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor ...

Showing results 21-40

Semiconductor Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do semiconductor data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for semiconductor data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a semiconductor data scientist do?

A Semiconductor Data Scientist analyzes large datasets generated during the design, manufacturing, and testing of semiconductor devices to extract insights and optimize processes. They use advanced statistical methods, machine learning, and data visualization tools to identify trends, detect anomalies, and improve yield, quality, and efficiency in semiconductor fabrication. Their work helps companies make data-driven decisions, reduce costs, and accelerate product development cycles.

What skills and qualifications are needed to be a semiconductor data scientist?

To thrive as a Semiconductor Data Scientist, you need a strong background in data analytics, machine learning, and semiconductor process knowledge, typically supported by a degree in engineering, computer science, or a related field. Proficiency with programming languages like Python or R, data visualization tools, and familiarity with semiconductor manufacturing systems such as MES are essential. Problem-solving, critical thinking, and effective communication skills help you interpret complex data and collaborate across multidisciplinary teams. These skills enable the extraction of actionable insights, optimization of manufacturing processes, and drive innovation in a highly technical industry.

How does a semiconductor data scientist collaborate with engineering and manufacturing teams?

As a Semiconductor Data Scientist, you will frequently work alongside engineering and manufacturing teams to analyze process data, identify patterns, and develop predictive models that improve yield and quality. Collaboration often involves translating complex data insights into actionable recommendations for process optimization and troubleshooting. Effective communication skills are essential, as you'll need to convey technical findings to colleagues with varying levels of data expertise. This interdisciplinary teamwork is key to driving innovation and efficiency in semiconductor fabrication.

What are popular job titles related to Semiconductor Data Scientist jobs?

For Semiconductor Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Semiconductor Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Santa Clara, CA • On-site, Remote

$170K - $234K/yr

Full-time

Re-posted 13 days ago


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:

$170,000.00 - $234,000.00

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:

Works in project teams as subject matter expert to design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources

Performs complicated statistical and data -mining analysis, using statistical tools like R, SAS and MATlab input and design of data acquisition systems, data structure and database design.

Interfaces with internal customers for requirements analysis and special requests and schedules; derives insights and works with business unties to determine actions and KPI for those actions

Works in project teams developing difficult analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.

Interacts with product and service teams to identify questions and issues for data analysis and experiments;Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, based on a very good knowledge of the business processes and needs

Communicates insights and findings from analysis and experiments to product, service and business management to be incorporated into the measuring of effective business processes

Functional Knowledge

  • Demonstrates depth and/or breadth of expertise in own specialized discipline or field

Business Expertise

  • Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Leadership

  • May lead functional teams or projects with moderate resource requirements, risk, and/or complexity

Problem Solving

  • Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Impact

  • Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies

Interpersonal Skills

  • Communicates difficult concepts and negotiates with others to adopt a different point of view

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, 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. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.