Data Scientist: Big Data & Analytics for Semiconductors

Applied Materials; Santa Clara (CA); On-site; USD 143,000 - 197,000; Full time

Job summary

Applied Materials, located in Santa Clara, CA, seeks a data analytics professional to design and implement methods for consolidating and analyzing diverse big data sources. You will perform statistical and data-mining analyses using R, SAS and MATLAB, while shaping data acquisition systems and database structures.

The role requires SQL proficiency and familiarity with PHP or Python for data processing, collaborating with internal customers to deliver actionable reports and models that improve

Qualifications

• Experience designing and developing methods to analyze large data sources.
• Proficiency with R, SAS and MATLAB for statistical analysis.
• Strong SQL skills; knowledge of PHP or Python for data processing.

Responsibilities

• Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources
• Performs ad-hoc statistical and data-mining analysis, using statistical tools like R, SAS and MATLAB; input and design of data acquisition systems, data structure and database design
• Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis
• Works in 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, understands the business data gathering processes of the business

Skills

Statistical analysis

SQL

Python

Big data concepts

Tools

R

SAS

MATLAB

PHP

Job description

Applied Materials, located in Santa Clara, CA, seeks a data analytics professional to design and implement methods for consolidating and analyzing diverse big data sources. You will perform statistical and data-mining analyses using R, SAS and MATLAB, while shaping data acquisition systems and database structures.

The role requires SQL proficiency and familiarity with PHP or Python for data processing, collaborating with internal customers to deliver actionable reports and models that improve