Applied Materials

1 week ago

Data Scientist IV - (B4)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Use machine learning and agentic AI to optimize operational workflows and build autonomous systems that monitor processes, recommend actions, and improve via feedback loops. Analyze large structured and unstructured datasets with advanced statistical and ML methods, and design scalable data pipelines for high-quality, real-time decisioning. Partner with cross-functional teams to develop predictive/prescriptive models across manufacturing, supply chain, customer operations, and finance.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Optimize operational workflows by designing and deploying ML models to improve efficiency and reduce manual effort.
•Develop autonomous, agentic AI systems to monitor processes, make recommendations, trigger actions, and learn from feedback loops.
•Analyze complex datasets with advanced statistical and ML techniques and communicate insights to technical and non-technical stakeholders.
•Build scalable analytics and data collection pipelines to improve data quality and support real-time decisioning.
•Develop and validate custom predictive/prescriptive ML models for operational use cases and maintain internal data systems.

Travel: Low travel

Pay and Benefits

Salary: USD 170,000 - 234,000 annually

Key Requirements

•Strong expertise in data modeling, database design, feature engineering, and data mining across large structured and unstructured datasets.
•Proficiency with SQL and statistical programming (Python, R) plus end-to-end ML workflow experience.
•Hands-on experience with ML algorithms/frameworks including clustering, decision trees, ensemble methods, deep learning, and reinforcement learning.
•Familiarity with agentic AI frameworks and LLM-based workflow orchestration (e.g., tools, function-calling, planning agents).
•Experience using Tableau (or similar BI tools) and strong statistical methods (regression, hypothesis testing, experimental design).

Experience:4-7 years

Education:Master's

Skills:Analytical skillsProblem-solvingData accuracyAttention to detailModel validation rigorData storytellingStakeholder communication

Tech Stack:SQLPythonRMachine learningClusteringDecision treesEnsemble methodsDeep learningReinforcement learningLLMFunction-callingPlanning agentsTime-seriesCausal inferenceTableauData pipelinesPredictive modelingPrescriptive modeling

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

1 week ago

Data Scientist IV - (B4)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Optimize operational workflows by designing and deploying ML models to improve efficiency and reduce manual effort.
•Develop autonomous, agentic AI systems to monitor processes, make recommendations, trigger actions, and learn from feedback loops.
•Analyze complex datasets with advanced statistical and ML techniques and communicate insights to technical and non-technical stakeholders.
•Build scalable analytics and data collection pipelines to improve data quality and support real-time decisioning.
•Develop and validate custom predictive/prescriptive ML models for operational use cases and maintain internal data systems.

Travel: Low travel

Pay and Benefits

Salary: USD 170,000 - 234,000 annually

Key Requirements

•Strong expertise in data modeling, database design, feature engineering, and data mining across large structured and unstructured datasets.
•Proficiency with SQL and statistical programming (Python, R) plus end-to-end ML workflow experience.
•Hands-on experience with ML algorithms/frameworks including clustering, decision trees, ensemble methods, deep learning, and reinforcement learning.
•Familiarity with agentic AI frameworks and LLM-based workflow orchestration (e.g., tools, function-calling, planning agents).
•Experience using Tableau (or similar BI tools) and strong statistical methods (regression, hypothesis testing, experimental design).

Experience:4-7 years

Education:Master's

Skills:Analytical skillsProblem-solvingData accuracyAttention to detailModel validation rigorData storytellingStakeholder communication

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