Dairy Cattle Genetics Internship
ZoetisInternship
Internship
Key technologies and capabilities for this role
Common questions about this position
Preferred qualifications include being currently enrolled in a Master’s or PhD program in Computer Science, Data Engineering, Information System, Electrical Engineering, or a related discipline, hands-on experience with data architecture concepts and frameworks, familiarity with complex data structures, and SQL experience for querying and analyzing data.
The minimum qualification is being currently enrolled in an undergraduate program in Computer Science, Data Engineering, Information System, Electrical Engineering, or a related discipline.
The role involves investigating, mapping, and documenting data sources, lineage, assumptions, and system design for the Service Inventory Optimization process, including technical analysis, systems thinking, risk identification, stakeholder communication, and delivering a clear actionable report.
The employment type is full time.
This information is not specified in the job description.
Provides process control and yield management solutions
KLA provides process control and yield management solutions primarily for semiconductor manufacturers. The company offers advanced inspection tools, metrology systems, and computational analytics that help manufacturers identify and fix defects during production. This process enhances the quality and reliability of electronic devices, leading to higher production yields. KLA distinguishes itself from competitors by focusing on high-precision equipment and software that are essential for defect detection in semiconductor manufacturing. The company's goal is to promote sustainability by committing to using 100% renewable electricity in its operations by 2030.