Data Scientist, Semiconductor Manufacturing Analytics

Intel’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.

In 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., * Analyze manufacturing, process, equipment, metrology, and yield data to identify trends, correlations, anomalies, and root causes of process variation.

• Develop 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.
• Build proof-of-concepts to demonstrate the technical feasibility of predictive analytics and ML-based methods for TCB and related manufacturing applications.
• Work with process and equipment teams to define analytics requirements and translate manufacturing problems into scalable data solutions.
• Support advanced process control initiatives.
• Collaborate with manufacturing stakeholders to deploy practical solutions that can be used in production environments.
• Develop dashboards, reports, and automated analysis tools to improve decision-making and reaction time.
• Maintain a strong focus on data quality, model validity, and manufacturing relevance., This role will be based on-site and will require close collaboration with engineering and manufacturing teams to support factory and technology development activities.

• Strong analytical and critical-thinking skills with the ability to solve complex technical and manufacturing challenges.
• The ability to make sound technical decisions with limited or ambiguous information while clearly communicating assumptions, risks, and recommendations.
• A strong ownership mindset and demonstrated ability to drive initiatives from concept through implementation.
• Excellent communication skills with the ability to translate complex analytical concepts into actionable business and engineering decisions.
• Strong collaboration and stakeholder management skills across technical and operational organizations.
• Technical leadership and the ability to influence decisions without direct authority.
• Adaptability and resilience in fast-paced manufacturing environments with evolving priorities.
• A continuous improvement mindset and passion for leveraging data, AI, and machine learning to solve challenging problems.
• Strong attention to detail while maintaining focus on broader business and manufacturing objectives., Minimum 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., Bachelor’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.

In addition, you must have 2+ years of experience in the following;

• Experience in manufacturing data analysis, statistical analysis, and applying data-driven methods to solve process or yield problems.
• Python programming and JMP for data analysis, automation, and model development.
• Experience working with large datasets from manufacturing, equipment, metrology, or quality systems.
• Apply AI/ML, statistical methods, or predictive modeling to extract actionable insights and support business or engineering decisions.
• SQL or other database query tools for data extraction and analysis., * Experience in semiconductor manufacturing, preferably assembly / advanced packaging.
• Understanding of advanced process control (APC), including run-to-run control, SPC, excursion detection, and process monitoring.
• Experience with yield analysis, process capability improvement, and root cause investigation in a manufacturing environment.
• Familiarity with machine learning models for anomaly detection, prediction, clustering, or classification.
• Experience developing dashboards, reports, or analysis tools.
• Experience working with computer vision or automated inspection data is a plus.
• Previous related work experience in a semiconductor foundry preferred, Analysis Skills, Artificial Intelligence (AI), Automation, Business Support, Communication Skills, Computer Science, Computer Skills, Computer Vision, Continuous Improvement, Data Analysis, Data Quality, Data Science, Data Sets, Detail Oriented, Feasibility Analysis, Intel Product Family, Leading Edge Technology, Machine Learning, Manufacturing, Manufacturing Analysis, Manufacturing Assembly, Manufacturing Engineering, Manufacturing Requirements, Manufacturing Software, Manufacturing/Industrial Processes, Mathematics, Metrology, Model Validation, Operations Research, Pattern Analysis, Performance Management, Physics, Predictive Modeling, Problem Solving Skills, Process Analysis, Process Capability, Process Control Engineering, Process Improvement, Process Manufacturing, Production Systems, Productivity Management, Proof of Concept, Python Programming/Scripting Language, Quality Engineering, Reporting Dashboards, Requirements Management, Root Cause Analysis, SQL Databases, Semiconductor Manufacturing, Semiconductors, Statistics, Technical Leadership, Trend Analysis

We 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.

Annual Salary Range for jobs which could be performed in the US: $136,900.00-269,150.00 USD

The 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.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

• ADDITIONAL 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.

Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.

• See Intel Benefits for more details., At 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.

This 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.