Applied Materials

2 days ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Join an internal consulting team with high visibility to executive leadership, leading strategic, data-driven projects to streamline business processes, improve supply chain and operations, and reduce costs. You’ll analyze large data sets, build diagnosis and prediction models, and develop interactive Power BI visualizations. Responsibilities include data cleaning and modeling, communicating insights to stakeholders, and creating end-user training materials using generative AI tools.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead end-to-end strategic project work, from as-is analysis and opportunity quantification through implementation.
•Structure and break down complex business problems, develop hypotheses, and deliver data-driven recommendations.
•Perform rigorous analysis across large data sets, synthesizing insights to improve operations and reduce cycle time and costs.
•Build and deploy models by cleaning and validating data, mining big data, and performing data and error analysis.
•Create Power BI mockups, reports, and interactive data visualizations, and develop end-user training materials using generative AI tools.

Travel: Medium travel

Pay and Benefits

Salary: USD 119,500 - 164,500 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in Industrial Engineering, Computer Science, Data Science, Business Analytics, or equivalent.
•4 years of relevant work experience, preferably in the Semiconductor industry or consulting.
•Experience using statistical computer languages such as Python and SQL to manipulate data and derive insights from large data sets.
•Knowledge of machine learning techniques (e.g., clustering, decision trees, neural networks) and advanced statistical concepts (e.g., regression, tests).
•Proficiency with business intelligence tools such as Power BI, including creating interactive dashboards, plus strong communication and analytical skills.

Experience:4+ yearsSemiconductorConsultingLogisticsSupply chain

Education:Bachelor's in Industrial Engineering, Computer Science, Data Science, Business Analytics

Skills:Change management motivationCommunicationOrganizational skillsAnalytical skillsStakeholder influence

Tech Stack:PythonSQLPower BIGenerative AI

Company Brief

Applied Materials

Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.

Industry: Industrial Machinery

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1967

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Applied Materials

2 days ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead end-to-end strategic project work, from as-is analysis and opportunity quantification through implementation.
•Structure and break down complex business problems, develop hypotheses, and deliver data-driven recommendations.
•Perform rigorous analysis across large data sets, synthesizing insights to improve operations and reduce cycle time and costs.
•Build and deploy models by cleaning and validating data, mining big data, and performing data and error analysis.
•Create Power BI mockups, reports, and interactive data visualizations, and develop end-user training materials using generative AI tools.

Travel: Medium travel

Pay and Benefits

Salary: USD 119,500 - 164,500 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in Industrial Engineering, Computer Science, Data Science, Business Analytics, or equivalent.
•4 years of relevant work experience, preferably in the Semiconductor industry or consulting.
•Experience using statistical computer languages such as Python and SQL to manipulate data and derive insights from large data sets.
•Knowledge of machine learning techniques (e.g., clustering, decision trees, neural networks) and advanced statistical concepts (e.g., regression, tests).
•Proficiency with business intelligence tools such as Power BI, including creating interactive dashboards, plus strong communication and analytical skills.

Experience:4+ yearsSemiconductorConsultingLogisticsSupply chain

Education:Bachelor's in Industrial Engineering, Computer Science, Data Science, Business Analytics

Skills:Change management motivationCommunicationOrganizational skillsAnalytical skillsStakeholder influence

Tech Stack:PythonSQLPower BIGenerative AI

Company Brief

Applied Materials

Industry: Industrial Machinery

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1967

Glassdoor: 3.9

Website LinkedIn Glassdoor