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About This Role
- The Advanced Packaging Technology and Manufacturing (APTM) organization is looking for data scientist to support Thermal Compression Bonding (TCB) process control, manufacturing data analytics, yield improvement, and predictive modeling.
- The successful candidate will work closely with process engineers, equipment engineers, metrology, quality, and manufacturing teams to develop data-driven solutions that improve process stability, reduce variation, and enhance yield.
- Key Responsibilities 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.
- Behavioral traits that we are looking for: • Strong communication and collaboration skills with the ability to work across process, equipment, metrology, quality, and manufacturing teams. • Proactive and self-driven, with the ability to work independently and manage multiple priorities. • Comfortable working in a dynamic manufacturing environment with changing priorities and imperfect data. • Able to translate complex analytical results into clear actions for non-data experts.
Requirements
- 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.
- Minimum Qualifications • Bachelor's degree with 6+ years of relevant experience, or a Master's degree with 4+ years of relevant experience, or a PhD with 2+ years of relevant experience in Computer Science, Data Science, Statistics, Electrical Engineering, Industrial Engineering, Mechanical Engineering, or another relevant science or engineering discipline. • Experience in manufacturing data analysis, statistical analysis, and applying data-driven methods to solve process or yield problems. • Strong proficiency in Python programming and JMP for data analysis, automation, and model development. • Experience working with large datasets from manufacturing, equipment, metrology, or quality systems. • Demonstrated ability to apply AI/ML, statistical methods, or predictive modeling to extract actionable insights and support business or engineering decisions. • Knowledge of SQL or other database query tools for data extraction and analysis.
- Preferred Qualifications • 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.
- Join us at Intel to contribute to technological advancements while building a rewarding and impactful career.
- Apply now to be a part of our extraordinary journey.
Benefits
- 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: $161,550.00-228,070.00 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.
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Specialisation
Open roles at Intel
677 positions
Job ID
/job/US-Arizona-Phoenix/Data-Scientist_JR0286110
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