Data Scientist

Job Title

Data Scientist

Role Summary

Work in the Advanced Packaging Technology and Manufacturing (APTM) organization to support Thermal Compression Bonding (TCB) process control, manufacturing analytics, yield improvement, and predictive modeling.

The role partners with process, equipment, metrology, quality, and manufacturing teams to develop and deploy data-driven solutions that improve process stability and yield.

Experience Level

Mid-level. Typical experience guidance from the posting: Master's with 4+ years, Bachelor's with 6+ years, or PhD with 2+ years of relevant experience.

Responsibilities

Deliver analytics and ML solutions for process monitoring, yield, and tool health; collaborate with engineering and manufacturing teams to implement practical production solutions.

• Analyze manufacturing, equipment, metrology, process, and yield data to find trends, correlations, anomalies, and root causes.
• Develop, validate, and maintain analytics and ML models for process monitoring, excursion detection, yield prediction, defect pattern analysis, and tool health monitoring.
• Build proof-of-concepts and scalable implementations for predictive analytics in manufacturing contexts.
• Work with process and equipment teams to define analytics requirements and translate problems into deployable data solutions.
• Support advanced process control efforts and SPC/run-to-run monitoring initiatives.
• Develop dashboards, reports, and automated analysis tools to accelerate decision-making.
• Maintain focus on data quality, model validity, and manufacturing relevance during deployment.

Requirements

Must-have technical skills and experience required for initial consideration; preferred items are listed separately.

Must-have:

• Experience in manufacturing data analysis, statistical analysis, and applying data-driven methods to solve process or yield problems.
• Proficiency in Python and JMP for data analysis, automation, and model development.
• Experience working with large manufacturing, equipment, metrology, or quality datasets.
• Demonstrated application of AI/ML, statistical methods, or predictive modeling to produce actionable engineering insights.
• Knowledge of SQL or other database query tools for data extraction and analysis.
• Strong communication and collaboration skills; ability to translate analysis for non-data experts.
• Comfortable working in dynamic manufacturing environments with imperfect data and changing priorities.

Nice-to-have:

• Experience in semiconductor manufacturing, especially assembly/advanced packaging.
• Familiarity with advanced process control concepts (run-to-run control, SPC, excursion detection).
• Experience with yield analysis, process capability improvement, and root cause investigations.
• Familiarity with ML models for anomaly detection, clustering, classification, or computer vision/automated inspection data.
• Experience developing dashboards, reports, and production-ready analysis tools.

Education Requirements

Minimum qualifications specify one of: Bachelor's (with 6+ years relevant experience), Master's (with 4+ years), or PhD (with 2+ years) in Computer Science, Data Science, Statistics, Electrical Engineering, Industrial Engineering, Mechanical Engineering, or another relevant science or engineering discipline.

About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.