Data Scientist II, New College Grad- Master's (Santa Clara, CA)

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 119,500 - 164,500Function: Data Science & Machine LearningEducation: mastersSkills: ["Ownership","Judgment","Cross-functional collaboration","Data investigation","Modeling communication"]

Join the Supply Chain Analytics team to build and deploy AI solutions that improve process efficiency. You’ll design scalable data pipelines, take models from notebook to production with data lineage, and build statistical/ML systems evaluated honestly. Work with stakeholders to turn ambiguous problems into measurable outcomes, and deliver decision-ready dashboards and LLM-enabled agentic workflows using tools like Tableau, Power BI, and Databricks/Spark.

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Applied Materials
Applied Materials
3 days ago

Data Scientist II, New College Grad- Master's (Santa Clara, CA)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Join the Supply Chain Analytics team to build and deploy AI solutions that improve process efficiency. You’ll design scalable data pipelines, take models from notebook to production with data lineage, and build statistical/ML systems evaluated honestly. Work with stakeholders to turn ambiguous problems into measurable outcomes, and deliver decision-ready dashboards and LLM-enabled agentic workflows using tools like Tableau, Power BI, and Databricks/Spark.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Design, develop, and deploy reusable AI solutions (search, summarization, agentic automation, and AI-assisted decision support) across use cases.
  • •Build the data pipelines that support analysis and AI, including ETL/ELT, orchestration, and data quality validation.
  • •Take work from notebook to production with documented methods, data lineage, and clear ownership.
  • •Build and evaluate statistical and machine learning models, including identifying where models fail and why.
  • •Develop dashboards and decision-support applications in Tableau and Power BI, presenting findings to business and executive audiences.
Travel: Low travel

Pay and Benefits

Salary: USD 119,500 - 164,500

Key Requirements

  • •Master’s degree in Data Science, Operations Research, Engineering, Computer Science, Statistics, Supply Chain Analytics, or a related quantitative field.
  • •Strong SQL skills (joins, aggregations, subqueries, CTEs, window functions, and query optimization).
  • •Hands-on Python for data analysis and machine learning (Pandas, NumPy, SciPy, scikit-learn).
  • •Experience building and evaluating statistical and ML models, including supervised/unsupervised methods and experimentation concepts.
  • •Hands-on experience with Databricks or a comparable cloud data platform (e.g., Snowflake, BigQuery), plus data visualization in Tableau and/or Power BI.
Experience:Supply chainMachine learningGenerative AILLMsData engineering
Education:Master's
Skills:OwnershipJudgmentCross-functional collaborationData investigationModeling communication
Tech Stack:PythonPandasNumPySciPyScikit-learnSQLTableauPower BIDatabricksSnowflakeBigQuerySparkLakehouseETLELTLLM APIsRetrieval augmented generationAgentic workflowsSix SigmaLean

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
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