Data Scientist

Applied Materials • Santa Clara, CA

2h

About The Position

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Requirements

• Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills.
• Builds knowledge of the company, processes and customers.
• Solves a range of straightforward problems.
• Analyzes possible solutions using standard procedures. Receives a moderate level of guidance and direction.

Responsibilities

• Supports the design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources
• Supports ad-hoc statistical and data mining analysis, using statistical tools like R, SAS and MATlab
• Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis
• Supports project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.
• Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees