Data Scientist at Applied Materials

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

164500.0

Posted On

12 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Tools, SQL, Python, PHP, Data Mining, Big Data, Analytical Models, Algorithms, Data Integration, Process Information, Materials Science, Engineering, Machine Learning, Statistical Analysis, Data Cleansing

Industry

Semiconductor Manufacturing

Description

Who We Are 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. What We Offer Salary: $119,500.00 - $164,500.00 Location: Santa Clara,CA 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. Key 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 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. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Relocation Eligible: No The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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Responsibilities

The Data Scientist will support the design and development of methods and systems to analyze big data sources. They will also develop analytical models and algorithms to evaluate large datasets.