About the position 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. Our team is looking for an engineer with background in statistics and data science with strong technical skills in applied statistics, good communication skills, ability to also help support and develop modern AI/ML solutions. As a Statistician and Data Scientist in the TD AI office, you will partner with Intel's factory automation organization and Foundry TD's functional areas to support semiconductor process development and transfer of these systems to worldwide virtual factory network.

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).

Nice-to-haves

• 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

Benefits

• competitive pay
• stock bonuses
• health
• retirement
• vacation