Senior AI – Data Science Engineer

Jobtailor; Arizona; On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking a senior AI/ML leader to drive development of advanced AI, ML, and Generative AI solutions for semiconductor manufacturing yield challenges in Arizona.

You will collaborate with cross-functional teams to deploy LLM apps, build scalable data pipelines, and mentor engineers while shaping AI roadmaps. Ideal candidates have 6+ years in data science and strong Python/SQL skills with a track record of delivering measurable business impact.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Electrical/Industrial Engineering, Statistics, Applied Mathematics or related STEM field.
• 6+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
• Experience performing yield analysis, root-cause analysis, process engineering analytics, and Statistical Process Control (SPC).
• 5+ years of semiconductor industry experience with manufacturing, process, and yield-related challenges.
• Strong programming experience in Python and SQL including scalable data pipelines and production-quality analytical solutions.

Responsibilities

• Lead development of AI/ML solutions addressing semiconductor yield challenges.
• Drive adoption of AI across engineering teams to enable data-driven decisions.
• Develop and deploy LLM and Generative AI applications to boost productivity and knowledge discovery.
• Analyze large manufacturing datasets to identify yield detractors, root causes, and optimization opportunities.
• Design scalable data pipelines, analytics frameworks, and AI infrastructure for robust manufacturing analytics.
• Mentor engineers and contribute to AI roadmaps across organzations.

Skills

AI Solution Development

Machine Learning

Yield Analysis

Python Programming

Data Pipeline Development

Data Analytics

Data Visualization

Statistical Process Control

Data Science

Advanced Analytics

Education

Bachelor's degree in Computer Science or STEM field

Tools

SQL

Data Analytics Frameworks

AI Infrastructure

Data Pipelines

Manufacturing Analytics

Job description

• Lead development of advanced AI, Machine Learning, and Generative AI solutions that address critical semiconductor manufacturing and yield challenges.
• Drive adoption of AI technologies across MDCE and partner engineering organizations, enabling data-driven decision making and measurable business impact.
• Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery.
• Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root causes, and optimization opportunities.
• Design and implement scalable data pipelines, analytics frameworks, and AI infrastructure that enable robust and sustainable manufacturing analytics.
• Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology Development teams to solve complex semiconductor challenges.
• Establish best practices for AI model development, software quality, deployment, monitoring, and lifecycle management.
• Lead cross-functional technical initiatives and influence strategic AI roadmaps across multiple engineering organizations.
• Mentor engineers and contribute to the growth of Intel's technical AI and Data Science community.
• Support Intel Foundry's manufacturing excellence objectives through innovative applications of AI, machine learning, and advanced analytics.

Requirements

• Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
• 6+ years of industry experience in one or more of the following: Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics.
• Performing yield analysis, root-cause analysis, process engineering analytics, and Statistical Process Control (SPC).
• 5+ Years of Semiconductor industry experience with manufacturing, process, and yield-related challenges.
• Strong programming experience in Python and SQL including developing scalable data pipelines and production-quality analytical solutions.
• Experience leading cross-functional technical projects and driving business impact through data-driven solutions.

Core Competencies

Demonstrates expertise in developing and deploying AI and Machine Learning solutions within semiconductor manufacturing, focusing on yield analysis and data-driven decision making. Proficient in leading cross-functional teams and mentoring engineers to drive innovation and improve manufacturing processes.

Highest-signal resume keywords

• AI Solution Development
• Machine Learning Expertise
• Yield Analysis
• Python Programming
• Data Pipeline Development

ATS Optimization Keywords

Hard Skills

• Artificial Intelligence
• Machine Learning
• Data Science
• Advanced Analytics
• Statistical Process Control
• Root-Cause Analysis
• Process Engineering Analytics
• Large Language Model Applications
• Data Analysis
• Data Visualization

Soft Skills

• Mentoring
• Collaboration
• Leadership
• Influencing
• Communication

Industry Keywords

• Semiconductor Manufacturing
• Yield Challenges
• Process Integration
• Technology Development
• Data-Driven Solutions

Tools & Technologies

• SQL
• Data Analytics Frameworks
• AI Infrastructure
• Data Pipelines
• Manufacturing Analytics