Data Scientist/Statistician (Data Science/ML)

TL;DR

Data Scientist/Statistician (Data Science/ML): Driving statistically sound methodologies into semiconductor process control, change management, and capability monitoring with an accent on predictive modeling, AI/ML solutions, and data-driven insights for foundry operations. Focus on developing algorithms, performing large-scale experimentation, and building data apps to solve complex manufacturing problems and enable business strategy.

Location: US, Arizona, Phoenix (primary); additional US, Oregon, Hillsboro. Hybrid work model: split time between on-site at hirify.global sites and off-site.

Salary: $116,010–228,070

Company

hirify.global Foundry focuses on state-of-the-art semiconductor manufacturing, process technology leadership for AI, global factory network, and customer enablement through yield improvements and advanced packaging.

What you will do

• Leverage data and analyses for change control decisions in semiconductor processes.
• Improve process capability, matching, and stability using control systems.
• Apply predictive modeling, statistics, ML, and data mining to extract insights from structured and unstructured data.
• Develop software, algorithms, and apps to translate data into hirify.globalligence and solve business problems.
• Assist with causal inferences, pattern detection, and interfacing with process analytics teams.

Requirements

• Must possess US work authorization (implied by US locations and benefits).
• Master's or PhD in Statistics, Data Science, or Industrial Engineering.
• 4+ years in statistics or data science; 2+ years on quality/process control systems.
• 1+ year on PowerBI or similar dashboards; 1+ years in data analytics/ML (Python, R, JMP) and SQL.
• Experience in AI/ML algorithms, statistical methodologies, coding (JSL, Python, SQL), data structures.
• Strong communication, analytical problem-solving, teamwork, and self-motivation.

Nice to have

• 1+ years on fault detection systems; 2+ years in technical leadership.
• Experience with JSL, Python, Spark, NiFi, Hadoop, HBase, S3, Kubernetes, REST APIs.
• CI/CD, GitHub proficiency; prior factory automation systems interaction.

Culture & Benefits

• Competitive pay, stock bonuses, health, retirement, and vacation benefits.
• Hybrid work model with on-site and off-site flexibility.
• Shift 1 (United States of America).
• Focus on ethical hiring, RBA compliance, no recruitment fees.