Data Scientist

Applied Materials•Santa Clara, CA

20h•$142,500 - $196,500•Onsite

About The Position

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

Requirements

Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines
Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market
Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements
Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies
Explains difficult or sensitive information; works to build consensus
SQL understanding
PHP or Python programming

Nice To Haves

statistical tools like R, SAS and MATlab

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