Data Analytics Engineer
KLAAbout the role
Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/Division
Enabling the movement toward advanced chip design, KLA's Measurement, Analytics and Control group (MACH) is looking for the best and brightest research scientists, software engineers, application development engineers and senior product technology process engineers to join our team. The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations—at their source—rather than compensate for them at later stages of the manufacturing process. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Our MACH team develops leading-edge solutions for patterning process analytics and control technologies, thereby providing customers with critical insight at the feature level, field level and cross-wafer analysis. Our teams also develop advanced modeling simulation, data analytics and process control modeling technologies. As a member of the MACH team, you’ll be joining the most sophisticated and successful process-control company in the semiconductor industry--working across functions to solve the most complex technical problems in the digital age.Job Description/Preferred Qualifications
Advanced semiconductor inspection, metrology and patterning processes generate tremendous amount of data. Comprehensive management and deep analysis of this data provides very useful insights for our customers to increase yields, improve tool availability and better control their process.
The data analytics engineer working in this area will have the unique opportunity to bringing multiple data sources together in a way that makes it possible to drive consolidated and deep insights.
A successful candidate in this role will be working with a talented and diverse group of experts in the area of semiconductor process control to understand their data and analysis requirements.
Key responsibilities include:
- Getting up to speed on understanding business requirements and defining successful analytics outcomes
- Cleaning, transforming, testing and deploying data to be ready for analysis
- Introducing definitions and documentation for key data and data processes
- Bringing software engineering techniques like continuous integration to analytics code
- Training others to use the end data for analysis and visualization
- Consulting with data scientists and analysts on areas to improve scripts and queries
- Providing output with clear actionable results
Preferred Qualifications
- Understanding of SQL, SAS, R and Python. Ability to work with structured and unstructured data
- Knowledge on machine learning, advanced mathematics, data conditioning, and working with big data tools
- Exposure to developing quick prototypes for demos, and larger-scale software projects
- Strong creative thinking and problem-solving abilities
- Team player who thrives in a collaborative environment
- Excellent communication skills and ability to clearly communicate complex technical concepts
- 10 to 20% travel is required
Minimum Qualifications
Bachelor's Level Degree and 0 years related work experience
Base Pay Range: $94,600.00 - $160,800.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA’s total rewards package forApply for this role
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