Data Scientist: Manufacturing Analytics & AI

Applied Materials; Santa Clara (CA); On-site; USD 120,000 - 165,000; Full time

Job summary

Applied Materials, headquartered in Santa Clara, CA, is seeking a data analytics professional to design and develop methods for analyzing large and diverse data sources. You will collaborate with internal customers to gather requirements and build analytical models and automated processes using SQL, PHP or Python.

Ideal candidates will have experience with R, SAS and MATLAB for statistical analysis and data mining, enabling insights for manufacturing and process information products.

Qualifications

• Design and develop methods to analyze structured and unstructured big data.
• Assist ad-hoc statistical analysis using R, SAS and MATLAB.
• Collaborate with internal customers to gather requirements for reports.
• Develop analytical models and automated processes using SQL, PHP or Python.
• Support manufacturing/Process information products through analytics.

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

Skills

Big data analysis

Statistical analysis

SQL

PHP or Python programming

Tools

R

SAS

MATLAB

Job description

Applied Materials, headquartered in Santa Clara, CA, is seeking a data analytics professional to design and develop methods for analyzing large and diverse data sources. You will collaborate with internal customers to gather requirements and build analytical models and automated processes using SQL, PHP or Python.

Ideal candidates will have experience with R, SAS and MATLAB for statistical analysis and data mining, enabling insights for manufacturing and process information products.