Data Scientist/Statistician

Responsibilities

• check_circle Ensuring organization leverages appropriate data and analyses to make change control decisions
• check_circle Drives organization to use process control systems to improve capability, matching, and stability of semiconductor process technologies
• check_circle 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.
• check_circle 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.
• check_circle Assist the business with casual inferences; observations with finding patterns and relationships in data.
• check_circle Interfacing with process and integration functional area analytics teams to help solve problems
• check_circle Experience in using AI/ML/Analytics algorithms and methodologies
• check_circle Developing statistical methodologies
• check_circle Ability to code statistical analysis, data cleaning, and data manipulation via common languages such as JSL, Python, and SQL
• check_circle Understanding of data structures
• check_circle Strong written and oral communication skills.
• check_circle Ability to train others
• check_circle Analytical problem solving and troubleshooting skills.
• check_circle Teamwork skills and partnership skills.
• check_circle High tolerance of ambiguity.
• check_circle High level of self-motivation

Basic qualifications

• 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).

Preferred qualifications

• 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