MFG Data Scientist

Job Title

MFG Data Scientist

Role Summary

Develop data-driven models, software, and automated processes to analyze semiconductor manufacturing data, enable yield learning, and provide early issue detection. Work with cross-functional manufacturing and product teams to consolidate diverse data sources, design experiments, and deliver actionable insights.

Focus is on scalable analytics and machine-learning solutions applied to inline metrology, defects, electrical tests, and probe data within semiconductor fabrication.

Experience Level

Senior — 5+ years of relevant experience

Responsibilities

Key responsibilities include:

• Model and correlate inline metrology, defect, etest, and probe data to support yield learning and early detection of process issues.
• Design, develop, and program methods, algorithms, and software to consolidate and analyze unstructured and diverse manufacturing datasets.
• Develop automated data-cleaning, integration, and evaluation pipelines for large, disparate data sources.
• Identify meaningful insights from large data and metadata; interpret and communicate findings to product, service, and business stakeholders.
• Collaborate across organizations to define analysis questions, design experiments, and deploy analytic solutions in manufacturing environments.

Requirements

Must-have and preferred qualifications:

Must-have:

• 5+ years of relevant experience in data science or analytics applied to manufacturing or related domains.
• Expertise in data and analytics techniques such as dimensionality reduction, causal analysis, and regression/classification models.
• Experience with supervised and unsupervised machine-learning algorithms and model development.
• Proficient in Python programming and interactions with databases for ML model development.
• Experience handling manufacturing data challenges (sampling issues, multicollinearity, multi-modal data) and building models for yield improvement.

Nice-to-have:

• Strong verbal and written communication skills and ability to build relationships with stakeholders.
• Demonstrated problem-solving, time-management, and teamwork skills; ability to ramp quickly on new systems and drive results.

Education Requirements

Doctorate (PhD) in Electrical Engineering is required.

About the Company

Company: Texas Instruments

Headquarters: Dallas, Texas, USA

Texas Instruments is a global semiconductor company that designs, manufactures, and sells analog and embedded processing chips for various markets including industrial, automotive, and personal electronics. The company's innovations aim to make electronics more affordable and reliable, fostering advancements in technology through each generation of semiconductors.