Data Scientist

Applied Materials•Santa Clara, CA

21h•$170,000 - $234,000•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 depth and/or breadth of expertise in own specialized discipline or field
Interprets internal/external business challenges and recommends best practices to improve products, processes or services
May lead functional teams or projects with moderate resource requirements, risk, and/or complexity
Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions
Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies
Communicates difficult concepts and negotiates with others to adopt a different point of view
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 development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources
Performs complicated 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 special requests and schedules; derives insights and works with business unties to determine actions and KPI for those actions
Works in project teams developing difficult analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.
Interacts with product and service teams to identify questions and issues for data analysis and experiments; Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, based on a very good knowledge of the business processes and needs
Communicates insights and findings from analysis and experiments to product, service and business management to be incorporated into the measuring of effective business processes