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About the Role

The Intel Foundry Statistics and Data Science team drives statistically sound methodologies into business practices and systems to manage change control decisions, monitor process capability, ensure matching across tools and fabs, and improve process control systems. This role is essential for transforming Intel into a great partner for foundry customers by turning data into information, and requires an engineer with strong statistics and data science skills, including applied statistics and AI/ML solutions.

Responsibilities

Ensuring organization leverages appropriate data and analyses to make change control decisions
Drives organization to use process control systems to improve capability, matching, and stability of semiconductor process technologies
Use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from the structure and unstructured data
Develop software, algorithms and applications to apply mathematics to data, perform large scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy
Assist the business with casual inferences; observations with finding patterns and relationships in data
Interfacing with process and integration functional area analytics teams to help solve problems

Requirements

Experience in using AI/ML/Analytics algorithms and methodologies
Developing statistical methodologies
Ability to code statistical analysis, data cleaning, and data manipulation via common languages such as JSL, Python, and SQL
Understanding of data structures
Strong written and oral communication skills
Ability to train others
Analytical problem solving and troubleshooting skills
Teamwork skills and partnership skills
High tolerance of ambiguity
High level of self-motivation
Master's or PhD degree in Statistics, Data Science or Industrial Engineering
4+ years working in statistics or data science
2+ years working on quality systems such as process control systems and change control systems
1+ year working on PowerBI or similar dashboards
1+ years in data analytics and machine learning (Python, R, JMP, etc.) and relational databases (SQL)
1+ years working on fault detection systems
2+ years in a Technical leadership role
3+ months working knowledge with any of following technologies: JSL, Python, Spark, NiFi, Hadoop, HBase, S3 object storage, Kubernetes, REST APIs and services
3+ months working knowledge with CI/CD (Continuous Integration/Continuous Deployment) and proficiency with GitHub and GitHub Actions
Prior interaction with factory automation systems

Skills

Statistics
Data Science
Applied Statistics
AI/ML
Predictive Modeling
Machine Learning
Data Mining
Data Analysis
Software Development
Algorithm Development
Application Development
Casual Inference
JSL
Python
SQL
PowerBI
R
JMP
Relational Databases
Fault Detection Systems
Technical Leadership
Spark
NiFi
Hadoop
HBase
S3 object storage
Kubernetes
REST APIs
CI/CD
GitHub
GitHub Actions
Factory Automation Systems

Location

US, Arizona, Phoenix
US, Oregon, Hillsboro

Work Type

Hybrid
Experienced Hire

Experience Level

4+ years working in statistics or data science
2+ years working on quality systems such as process control systems and change control systems
1+ year working on PowerBI or similar dashboards
1+ years in data analytics and machine learning (Python, R, JMP, etc.) and relational databases (SQL)
1+ years working on fault detection systems
2+ years in a Technical leadership role
3+ months working knowledge with any of following technologies: JSL, Python, Spark, NiFi, Hadoop, HBase, S3 object storage, Kubernetes, REST APIs and services
3+ months working knowledge with CI/CD (Continuous Integration/Continuous Deployment) and proficiency with GitHub and GitHub Actions

Education Level

Master's or PhD degree in Statistics, Data Science or Industrial Engineering

Salary/Compensations

$116,010.00-228,070.00 USD

Benefits

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits

About the Company

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound methodologies into business practices and systems to help organization manage change control decisions, monitor capability of the process, ensure matching across tools and fabs, and drive best in class process control systems.
Our team reports into the foundry quality and reliability team and is essential for driving transformation of Intel to be focused on not just process development, but a great partner for our foundry customers to help turn data into information.
Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.
We do not charge any fees during our hiring process.
Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.