{"schemaVersion":"jobsearcher.job.v1","id":"09358de0ddee326390b9b39c","url":"https://jobsearcher.com/jobs/09358de0ddee326390b9b39c","canonicalUrl":"https://jobsearcher.com/jobs/09358de0ddee326390b9b39c","title":"Data Scientist, Semiconductor Manufacturing Analytics","description":"Job Details:\n\nJob Description:\n\nIntel's Advanced Packaging Technology and Manufacturing (APTM) organization is seeking a highly motivated Data Scientist, Semiconductor Manufacturing Analytics to drive data-driven innovation across Thermal Compression Bonding (TCB), advanced packaging, process control, yield improvement, and manufacturing optimization.\n\nIn this role, you will partner with process, equipment, metrology, quality, and manufacturing engineering teams to develop advanced analytics, machine learning, and AI-based solutions that improve manufacturing performance, process stability, and product yield. You will apply statistical methodologies, predictive modeling, and large-scale data analysis to solve complex manufacturing challenges and accelerate decision-making across Intel's advanced packaging operations. This role is ideal for someone who enjoys translating complex technical problems into scalable analytical solutions that deliver measurable business impact.\n\nKey Responsibilities but not limited to:\nAnalyze manufacturing, process, equipment, metrology, and yield data to identify trends, correlations, anomalies, and root causes of process variation.\nDevelop and validate data analytics and machine learning models to support: process monitoring, excursion detection, yield prediction, defect pattern analysis and tool health / process drift monitoring.\nBuild proof-of-concepts to demonstrate the technical feasibility of predictive analytics and ML-based methods for TCB and related manufacturing applications.\nWork with process and equipment teams to define analytics requirements and translate manufacturing problems into scalable data solutions.\nSupport advanced process control initiatives.\nCollaborate with manufacturing stakeholders to deploy practical solutions that can be used in production environments.\nDevelop dashboards, reports, and automated analysis tools to improve decision-making and reaction time.\nMaintain a strong focus on data quality, model validity, and manufacturing relevance.\n\nBehavioral traits that we are looking for:\n\nStrong analytical and critical-thinking skills with the ability to solve complex technical and manufacturing challenges.\nThe ability to make sound technical decisions with limited or ambiguous information while clearly communicating assumptions, risks, and recommendations.\nA strong ownership mindset and demonstrated ability to drive initiatives from concept through implementation.\nExcellent communication skills with the ability to translate complex analytical concepts into actionable business and engineering decisions.\nStrong collaboration and stakeholder management skills across technical and operational organizations.\nTechnical leadership and the ability to influence decisions without direct authority.\nAdaptability and resilience in fast-paced manufacturing environments with evolving priorities.\nA continuous improvement mindset and passion for leveraging data, AI, and machine learning to solve challenging problems.\nStrong attention to detail while maintaining focus on broader business and manufacturing objectives.\n\nIntel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.\n\nSee Intel Benefits for more details.\n\nQualifications:\nMinimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.\n\nNote:\n\nFor information on Intel’s immigration sponsorship guidelines, please see\n\nIntel U.S. Immigration Sponsorship Information\n\nMinimum Qualifications and Experience:\n\nBachelor's degree with 6+ years of experience, Master's degree with 4+ years of experience, or PhD with 2+ years of experience in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Physics, Operations Research, or a related technical discipline.\n\nIn addition, you must have 2+ years of experience in the following;\n\nExperience in manufacturing data analysis, statistical analysis, and applying data-driven methods to solve process or yield problems.\nPython programming and JMP for data analysis, automation, and model development.\nExperience working with large datasets from manufacturing, equipment, metrology, or quality systems.\nApply AI/ML, statistical methods, or predictive modeling to extract actionable insights and support business or engineering decisions.\nSQL or other database query tools for data extraction and analysis.\nPreferred Qualifications and Experience:\nExperience in semiconductor manufacturing, preferably assembly / advanced packaging.\nUnderstanding of advanced process control (APC), including run-to-run control, SPC, excursion detection, and process monitoring.\nExperience with yield analysis, process capability improvement, and root cause investigation in a manufacturing environment.\nFamiliarity with machine learning models for anomaly detection, prediction, clustering, or classification.\nExperience developing dashboards, reports, or analysis tools.\nExperience working with computer vision or automated inspection data is a plus.\nPrevious related work experience in a semiconductor foundry preferred\nWhy Intel\n\nAt Intel Foundry, you'll help solve some of the industry's most complex manufacturing challenges using advanced analytics, artificial intelligence, and machine learning. You'll work alongside world-class engineers and technical experts to develop solutions that improve process performance, manufacturing efficiency, and product yield for leading-edge semiconductor technologies.\n\nThis is an opportunity to make a direct impact on technologies that power the future of computing while continuing to grow your technical expertise and career within one of the world's most innovative technology companies.\n\nWorking Model\n\nThis role will be based on-site and will require close collaboration with engineering and manufacturing teams to support factory and technology development activities.\n\nJob Type:\nExperienced Hire\n\nShift:\nShift 1 (United States of America)\n\nPrimary Location:\nUS, Arizona, Phoenix\n\nAdditional Locations:\n\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.\nPosition of Trust\nN/A\n\nBenefits\n\nWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .\n\nAnnual Salary Range for jobs which could be performed in the US: $136,900.00-269,150.00 USD\n\nThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.\n\nWork Model for this Role\n\nThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.\n\n*\n\nADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.","company":"Intel","rawCompany":"intel","city":"Phoenix","state":"AZ","isRemote":false,"isActive":true,"createdAt":"2026-09-14T02:43:44.862Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"},{"code":"333242","title":"Semiconductor Machinery Manufacturing","slug":"semiconductor-machinery-manufacturing"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist, Semiconductor Manufacturing Analytics","description":"Job Details:\n\nJob Description:\n\nIntel's Advanced Packaging Technology and Manufacturing (APTM) organization is seeking a highly motivated Data Scientist, Semiconductor Manufacturing Analytics to drive data-driven innovation across Thermal Compression Bonding (TCB), advanced packaging, process control, yield improvement, and manufacturing optimization.\n\nIn this role, you will partner with process, equipment, metrology, quality, and manufacturing engineering teams to develop advanced analytics, machine learning, and AI-based solutions that improve manufacturing performance, process stability, and product yield. You will apply statistical methodologies, predictive modeling, and large-scale data analysis to solve complex manufacturing challenges and accelerate decision-making across Intel's advanced packaging operations. This role is ideal for someone who enjoys translating complex technical problems into scalable analytical solutions that deliver measurable business impact.\n\nKey Responsibilities but not limited to:\nAnalyze manufacturing, process, equipment, metrology, and yield data to identify trends, correlations, anomalies, and root causes of process variation.\nDevelop and validate data analytics and machine learning models to support: process monitoring, excursion detection, yield prediction, defect pattern analysis and tool health / process drift monitoring.\nBuild proof-of-concepts to demonstrate the technical feasibility of predictive analytics and ML-based methods for TCB and related manufacturing applications.\nWork with process and equipment teams to define analytics requirements and translate manufacturing problems into scalable data solutions.\nSupport advanced process control initiatives.\nCollaborate with manufacturing stakeholders to deploy practical solutions that can be used in production environments.\nDevelop dashboards, reports, and automated analysis tools to improve decision-making and reaction time.\nMaintain a strong focus on data quality, model validity, and manufacturing relevance.\n\nBehavioral traits that we are looking for:\n\nStrong analytical and critical-thinking skills with the ability to solve complex technical and manufacturing challenges.\nThe ability to make sound technical decisions with limited or ambiguous information while clearly communicating assumptions, risks, and recommendations.\nA strong ownership mindset and demonstrated ability to drive initiatives from concept through implementation.\nExcellent communication skills with the ability to translate complex analytical concepts into actionable business and engineering decisions.\nStrong collaboration and stakeholder management skills across technical and operational organizations.\nTechnical leadership and the ability to influence decisions without direct authority.\nAdaptability and resilience in fast-paced manufacturing environments with evolving priorities.\nA continuous improvement mindset and passion for leveraging data, AI, and machine learning to solve challenging problems.\nStrong attention to detail while maintaining focus on broader business and manufacturing objectives.\n\nIntel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.\n\nSee Intel Benefits for more details.\n\nQualifications:\nMinimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.\n\nNote:\n\nFor information on Intel’s immigration sponsorship guidelines, please see\n\nIntel U.S. Immigration Sponsorship Information\n\nMinimum Qualifications and Experience:\n\nBachelor's degree with 6+ years of experience, Master's degree with 4+ years of experience, or PhD with 2+ years of experience in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Physics, Operations Research, or a related technical discipline.\n\nIn addition, you must have 2+ years of experience in the following;\n\nExperience in manufacturing data analysis, statistical analysis, and applying data-driven methods to solve process or yield problems.\nPython programming and JMP for data analysis, automation, and model development.\nExperience working with large datasets from manufacturing, equipment, metrology, or quality systems.\nApply AI/ML, statistical methods, or predictive modeling to extract actionable insights and support business or engineering decisions.\nSQL or other database query tools for data extraction and analysis.\nPreferred Qualifications and Experience:\nExperience in semiconductor manufacturing, preferably assembly / advanced packaging.\nUnderstanding of advanced process control (APC), including run-to-run control, SPC, excursion detection, and process monitoring.\nExperience with yield analysis, process capability improvement, and root cause investigation in a manufacturing environment.\nFamiliarity with machine learning models for anomaly detection, prediction, clustering, or classification.\nExperience developing dashboards, reports, or analysis tools.\nExperience working with computer vision or automated inspection data is a plus.\nPrevious related work experience in a semiconductor foundry preferred\nWhy Intel\n\nAt Intel Foundry, you'll help solve some of the industry's most complex manufacturing challenges using advanced analytics, artificial intelligence, and machine learning. You'll work alongside world-class engineers and technical experts to develop solutions that improve process performance, manufacturing efficiency, and product yield for leading-edge semiconductor technologies.\n\nThis is an opportunity to make a direct impact on technologies that power the future of computing while continuing to grow your technical expertise and career within one of the world's most innovative technology companies.\n\nWorking Model\n\nThis role will be based on-site and will require close collaboration with engineering and manufacturing teams to support factory and technology development activities.\n\nJob Type:\nExperienced Hire\n\nShift:\nShift 1 (United States of America)\n\nPrimary Location:\nUS, Arizona, Phoenix\n\nAdditional Locations:\n\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.\nPosition of Trust\nN/A\n\nBenefits\n\nWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .\n\nAnnual Salary Range for jobs which could be performed in the US: $136,900.00-269,150.00 USD\n\nThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.\n\nWork Model for this Role\n\nThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.\n\n*\n\nADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.","datePosted":"2026-09-14T02:43:44.862Z","dateModified":"2026-09-14T02:43:44.862Z","hiringOrganization":{"@type":"Organization","name":"Intel","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"09358de0ddee326390b9b39c"},"url":"https://jobsearcher.com/jobs/09358de0ddee326390b9b39c"}}