Data Scientist

Job Title

Data Scientist

Role Summary

Work within the Advanced Packaging Technology and Manufacturing (APTM) Yield Systems team to develop data-driven solutions that improve manufacturing yield and operational performance. Collaborate with yield analysts, engineers, and business stakeholders to translate manufacturing problems into scalable analytics, automation, and production-ready software.

Experience Level

Mid-level. Typical experience: 2–4+ years in relevant industry roles; the posting specifies 3+ years with a Bachelor's or 2+ years with a Master's.

Responsibilities

Primary duties include designing and delivering data science and engineering solutions for manufacturing yield improvement.

• Partner with yield analysts, engineers, and stakeholders to define system requirements from manufacturing problems.
• Design, implement, and deploy scalable data science models and computer vision solutions for yield analysis.
• Build automated ETL/data pipelines and production workflows to support real-time decisioning and dashboards.
• Develop and maintain software tools, APIs, and visualizations that provide actionable insights to manufacturing teams.
• Analyze fab and advanced packaging data to detect anomalies, identify patterns, and drive yield improvements.
• Support cross-functional implementation and production support of deployed systems.
• Communicate technical findings clearly to technical and non-technical audiences.
• Evaluate and adopt emerging ML/analytics and automation methodologies relevant to yield systems.

Requirements

Must-have technical skills and practical experience. Preferred items are listed separately.

• Experience with advanced packaging and fab data (defects, yield, FDC) and defect-data workflows/automation (Fab Tools, Station Controllers, Adaptive Metrology) — >=1 year.
• Proficient in Python for data pipelines, backend/frontend integration, ETL, and API development.
• Experience with relational databases (MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) and building data integrations.
• Familiarity with Git, CI/CD pipelines, and automated deployment.
• Hands-on with end-to-end data engineering: ingestion, cleaning, analytics, modeling, evaluation, and deployment.
• Experience supporting production data flows, dashboards, or tools used by engineering teams.
• Strong communication and collaboration skills; able to work in changing, ambiguous environments with minimal supervision.
• This position is not eligible for Intel immigration sponsorship.

Education Requirements

Bachelor's degree with 3+ years relevant experience, or Master's degree with 2+ years, in Computer Science, Data Science, or other Engineering disciplines. Equivalent practical experience (industry experience, internships, or relevant coursework/research) is acceptable.

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.