SENIOR/STAFF DATA SCIENTIST, SMART MFG & AI

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5-8 yearsSkills: ["Analytical thinking","Critical thinking","Problem-solving","Structured thinking","Communication"]

Build predictive models and data-driven insights for semiconductor manufacturing by working with engineering, manufacturing, product, and business teams. Develop, validate, and deploy statistical and machine learning solutions that improve product quality, optimize manufacturing performance, and drive operational excellence. Lead analytics projects end-to-end, perform exploratory and root-cause analysis, and partner with data engineering and software teams to operationalize models while aligning to responsible AI and data governance standards.

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Micron Technology
Micron Technology
1 week ago

SENIOR/STAFF DATA SCIENTIST, SMART MFG & AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build predictive models and data-driven insights for semiconductor manufacturing by working with engineering, manufacturing, product, and business teams. Develop, validate, and deploy statistical and machine learning solutions that improve product quality, optimize manufacturing performance, and drive operational excellence. Lead analytics projects end-to-end, perform exploratory and root-cause analysis, and partner with data engineering and software teams to operationalize models while aligning to responsible AI and data governance standards.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Collaborate with cross-functional teams to identify data-driven opportunities and process improvements across engineering, manufacturing, product, and business.
  • •Analyze large datasets to uncover trends, patterns, and actionable insights that drive business value.
  • •Develop, validate, and deploy statistical models, machine learning algorithms, and predictive analytics solutions for manufacturing and business challenges.
  • •Lead analytics and machine learning projects from problem definition through deployment and adoption.
  • •Partner with data engineers and software teams to operationalize models; communicate findings to technical and non-technical stakeholders and mentor junior team members.

Pay and Benefits

Perks:Health InsurancePaid LeaveLearning BudgetWellness StipendEquityRecognition

Key Requirements

  • •Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative discipline.
  • •5 to 8 years of experience in data science, machine learning, AI, advanced analytics, or a related field.
  • •Proven experience developing and deploying statistical models, machine learning algorithms, and predictive analytics for business/engineering/manufacturing problems.
  • •Experience working with large, complex datasets including extraction, cleansing, transformation, feature engineering, and model development.
  • •Strong SQL and programming skills (Python and/or R) to build scalable analytics solutions.
Experience:5-8 years
Education:
Skills:Analytical thinkingCritical thinkingProblem-solvingStructured thinkingCommunication
Tech Stack:PythonRSQLPySparkSparkRSparklyRApache SparkHadoopHiveHBaseTableauMachine LearningArtificial IntelligencePredictive AnalyticsFeature EngineeringExploratory Data Analysis

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
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: Boise, United States
Founded: 1978
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn