Data Scientist

About the role

Applied Materials is the global leader in materials science and engineering solutions that underpin semiconductor chips and advanced displays, advancing AI and next-generation chip commercialization. As a Data Scientist in Bangalore, India, you will support the design and development of methods, processes, and systems to consolidate and analyze structured and unstructured big data, perform ad-hoc statistical and data mining analysis, interface with internal customers for requirements analysis, and help project teams build analytical models, algorithms, and automated processes. The role is full-time with 10% travel and relocation assistance available.

What you’ll do

• 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 you’ll bring

• Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities
• Supports design and development of program methods, processes, and systems to consolidate and analyze structured and unstructured big data sources
• Performs 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 using SQL and PHP or Python to cleanse, integrate, and evaluate large datasets
• Supports timely development of products for manufacturing and process information by applying sophisticated data analytics
• Solves problems in straightforward situations using technical experience, judgment, and precedents
• Explains complex information to others in straightforward situations

Skills

Education

Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities