Data Scientist, Semiconductor Manufacturing Analytics

Job Description: 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. Key Responsibilities but not limited to: 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 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.   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.

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. Note:   For information on Intel’s immigration sponsorship guidelines, please see Intel U.S. Immigration Sponsorship Information Minimum Qualifications and Experience: 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