Data Scientist Student

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.

Job Description

Are you a data enthusiast eager to gain hands-on experience in the world of data science?

We are seeking a highly motivated Student Data Scientist to join our team and work on exciting projects to turn data into actionable insights.

This is an excellent opportunity to apply your academic knowledge in a real-world, high-impact setting while making meaningful impact across the Operations organization.

Responsibilities:

• Collect, clean, and preprocess structured and unstructured datasets
• Conduct exploratory data analysis (EDA) to uncover trends and insights
• Collaborate with team members to design and implement data-driven solutions
• Create visualizations and reports to communicate findings to stakeholders
• Develop automatic tools to optimize data and improve processes
• Assist in building machine learning models and performing predictive analytics
  
  

Requirements:

• Student pursuing BSc. in Data Science, Computer Science, Statistics, or a related field - MUST
• Third year student - MUST
• Familiarity with programming languages such as Python or R - MUST
• Basic knowledge of machine learning concepts and libraries (scikit-learn, TensorFlow) – MUST
• Experience with data visualization tools (Tableau or Power BI) - Advantage
• Available for minimum 20+ hours a week - MUST
• High level of English, both written and verbal - MUST
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
  
  

Minimum Qualifications

• Student pursuing BSc. in Data Science, Computer Science, Statistics, or a related field - MUST
• Third year student - MUST
• Familiarity with programming languages such as Python or R - MUST
• Basic knowledge of machine learning concepts and libraries (scikit-learn, TensorFlow) – MUST
• Experience with data visualization tools (Tableau or Power BI) - Advantage
• Available for minimum 20+ hours a week - MUST
• High level of English, both written and verbal - MUST
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
  
  

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.