Data Scientist

Applied Materials
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Data analysis","Interpersonal communication","Team collaboration","Informal guidance"]

Apply advanced data analytics to design and develop methods, processes, and systems for consolidating and analyzing structured and unstructured big data sources. Perform statistical and data-mining analyses with tools such as R, SAS, and MATLAB, and work with internal customers to define requirements and produce scheduled or special reports. Build analytical models, algorithms, and automated processes using SQL and programming in PHP or Python to support manufacturing and process information products.

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FursaFursa
Applied Materials
Applied Materials
1 day ago

Data Scientist

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 4 weeks ago

Job Summary

Apply advanced data analytics to design and develop methods, processes, and systems for consolidating and analyzing structured and unstructured big data sources. Perform statistical and data-mining analyses with tools such as R, SAS, and MATLAB, and work with internal customers to define requirements and produce scheduled or special reports. Build analytical models, algorithms, and automated processes using SQL and programming in PHP or Python to support manufacturing and process information products.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Support design and development of program methods, processes, and systems to consolidate and analyze structured and unstructured big data sources.
  • •Conduct ad-hoc statistical and data mining analysis using tools such as R, SAS, and MATLAB.
  • •Interface with internal customers to analyze requirements and compile data for scheduled or special reports and analysis.
  • •Develop analytical models, algorithms, and automated processes using SQL and programming in PHP or Python.
  • •Support project teams in timely development of manufacturing and process information products using data analytics.
Travel: Low travel

Key Requirements

  • •Demonstrate expanded conceptual knowledge in data science and related analytical disciplines.
  • •Support ad-hoc statistical and data mining analysis using tools such as R, SAS, and MATLAB.
  • •Use SQL and programming in PHP or Python to cleanse, integrate, and evaluate large datasets.
  • •Interface with internal customers for requirements analysis and compile data for scheduled or special reports.
  • •Apply sophisticated data analytics to support timely development of products for manufacturing and process information.
Experience:Big dataManufacturingProcess intelligenceMachine learning
Skills:Problem-solvingData analysisInterpersonal communicationTeam collaborationInformal guidance
Tech Stack:RSASMATlabSQLPHPPythonDockerClusteringSignal ProcessingSoftware Engineering

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
Glassdoor: 3.9
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