Job Details

ID #53075968
Estado Michigan
Ciudad Ann arbor
Full-time
Salario USD TBD TBD
Fuente KLATencor Corporation
Showed 2024-12-14
Fecha 2024-12-14
Fecha tope 2025-02-12
Categoría Etcétera
Crear un currículum vítae
Aplica ya

Data Science and SW Engineering Intern

Michigan, Ann arbor, 48103 Ann arbor USA
Aplica ya

Base Pay Range: $0.00 - $0.00 Per HourPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.Company OverviewKLA 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/DivisionThe vision of KLA's global human resources organization is to become a leader and partner to operating leadership in support of the company's efforts to achieve its strategic growth, customer and operating objectives through strategic talent management. Our mission is to enable the business, and leverage human resources to achieve short and long-term business objectives. Our primary areas of strategic focus include talent acquisition, individual and organizational assessment and development, performance management, inclusion and engagement, and rewards. The global HR organization includes HR business partners, learning and development, talent acquisition, compensation and benefits, employee communications, and HR system operations.Job Description/Preferred Qualifications

Great opportunity for the curious and motivated mind for internship during the summer of CY25. We are seeking eager and highly motivated intern pursuing BSc, MSC, or PhD in fields such as data science, computer science, statistics, or related fields to work on exploratory project with KLA Services Division to define and conduct work to discover trends and potential paths to get insights from service data. The candidate will need to develop a quick understanding of the data, data sources, and suggest potential paths to analyze the data and try to get actionable insights from the data. We are open to machine learning or classic approaches. The candidate will collaborate with subject matter experts from service team, supply chain, and engineering, to understand the data and the type of output we are pursuing.Responsibilities:

Discuss and establish requirements with the team

Understand and establish data sources

Articulate and define the problem statement and expected output

Conduct discovery work to uncover patterns and potential useful signals from the data

Establish methods to validate and sanity check the output

Create visualization and presentation of the data and output

Suggest and establish follow up work and roadmapMinimum Qualifications

Requires less than 1 year of related experience.

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