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Semiconductor Data Scientist Jobs (NOW HIRING)

We push for the next big semiconductor breakthrough. We lead the way in one of the most critical ... Data Scientist 3 Date: Jul 29, 2026 Location: Boise, ID, US, 83709 Worker Category: On-site The ...

Qnity is a market leader in specialty materials for electronic devices and semiconductor fabrication. In this role, the Data Scientist will collaborate with clients within the company engaged in a ...

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking for a ... Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal ...

Qnity Electronics is a premier technology provider across the semiconductor value chain, empowering AI, high performance computing, and advanced connectivity.In this role, the Data Scientist will ...

Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal ... D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics ...

We are seeking a Sr. Staff Process Data Scientist to join our Data Science team, where you will ... Knowledge of semiconductor, chemicals, energy, or advanced manufacturing processes Bloom Energy is ...

We are seeking a Sr. Staff Process Data Scientist to join our Data Science team, where you will ... Knowledge of semiconductor, chemicals, energy, or advanced manufacturing processes Bloom Energy is ...

Showing results 41-60

Semiconductor Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do semiconductor data scientist jobs pay per year?

As of Sep 10, 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 3

Boise, ID • On-site

Other

Re-posted 5 days ago


Job description

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.
Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.
The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.
Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Data Scientist 3

Date: Jul 29, 2026

Location: Boise, ID, US, 83709

Worker Category: On-site

The group you’ll be a part of

The Customer Support Business Group focuses on enabling our customers with premier customersupport throughout their lifecycle with Lam. We drive performance, productivity, safety, andquality of customers installed base performance and deliver service and lifecycle solutionsfor their most critical equipment and processes.

The impact you’ll make

Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.

What you’ll do

EI Application Technical Support (EIDH-Resident Apps)

  • IBP Apps (AutoTRD, MATH, ARC, PPD, SRC)
  • EI-DA2.x / EI-DAe
  • EI Discovery / Data Explorer
  • All Additional Developed Applications (JupyterLab-Python)
  • Monitor, support, and maintain all EI applications deployed on EIDH clusters
  • Perform application health checks and first-level troubleshooting
  • Support EI application upgrades and validation
  • Coordinate issue resolution with EI Dev, Product, and Global Support teams
  • Validate application functionality after cluster or data pipeline changes

Reporting, Startup & Account Team Support

  • Support system startups (new clusters, tools, chambers)
  • Help define and track startup readiness metrics
  • Facilitate creation of reports required by Account Teams for:
    • New Lam Tool installations
    • Expansion phases
    • Customer reviews

Training, Enablement & Knowledge Sharing

  • LamAutoArchiver & LamArchiver Tool Software
  • All EI Applications
  • Chamber process fundamentals
  • Process control and data set structures
  • Maintain working knowledge across tool, chamber, and EI data domains
  • Act as local EI subject matter expert (SME)
  • Support internal training and knowledge sharing when needed

Stakeholder & Cross-Functional Engagement

  • Act as Lam EI voice to customers
  • Maintain active engagement with customer’s IT and Data Science/Analytics teams
  • Provide structured feedback to Lam EI Dev and Product teams on:
    • Feature gaps
    • Operational pain points
    • Scalability concerns
  • Contribute to broader Lam EI strategy discussions when requested
Who we’re looking for
  • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.


Nearest Major Market: Boise
Nearest Secondary Market: Meridian
Job Segment: Scientific, Database, Technical Support, Engineering, Technology, Research, Customer Service

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