Senior Data Scientist

Texas Instruments
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Collaboration"]

Develop and deploy machine learning models and analytical solutions that accelerate semiconductor development. Define, design, implement, and document data science solutions across design automation, process technology optimization, device modeling, design verification, manufacturing yield enhancement, test data analytics, and reliability prediction. Apply AI/ML with strong mathematical foundations (optimization, linear algebra, probability) to build physics-informed models, drive adoption of data science tools, and create ideas that can be patented and published.

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Texas Instruments
Texas Instruments
3 months ago

Senior Data Scientist

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

Job Summary

Develop and deploy machine learning models and analytical solutions that accelerate semiconductor development. Define, design, implement, and document data science solutions across design automation, process technology optimization, device modeling, design verification, manufacturing yield enhancement, test data analytics, and reliability prediction. Apply AI/ML with strong mathematical foundations (optimization, linear algebra, probability) to build physics-informed models, drive adoption of data science tools, and create ideas that can be patented and published.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and deploy machine learning models and analytical solutions for semiconductor development.
  • •Deliver data science solutions across the semiconductor development lifecycle, including design automation, verification, and manufacturing yield enhancement.
  • •Apply AI/ML techniques with mathematical foundations to create physics-informed models that improve efficiency, reduce development cycles, and ensure product quality.
  • •Own and drive adoption of data science tools and methodologies across design, process development, test, and manufacturing teams.
  • •Create novel ideas that can be patented and published, contributing to semiconductor physics and IC design learning through practical projects.

Key Requirements

  • •Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.
  • •3+ years of professional experience in data science or machine learning roles.
  • •Cumulative 3.0/4.0 GPA or higher (for recent graduates).
  • •Strong foundation in mathematical concepts including calculus, linear algebra, probability theory, and optimization.
  • •Ability to derive algorithms from first principles and apply mathematical modeling to physical systems.
Experience:3+ yearsSemiconductorMachine learningData scienceEngineering environmentsProduction ML
Education:Bachelor's
Skills:CommunicationProblem-solvingCollaboration
Languages:English
Tech Stack:PythonPandasNumPySciPyPyTorchTensorFlowScikit-learnMatplotlibSparkHadoopAWSAzureGCPSQLNoSQLCadenceSynopsys

Company Brief

Texas Instruments
Designs and manufactures semiconductors and analog chips used in industrial, automotive, personal electronics, communications, and enterprise systems. It is one of the world’s largest semiconductor companies, with a broad portfolio of embedded processing and power products.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dallas, United States
Founded: 1930
WebsiteLinkedIn