Expoint - all jobs in one place

The point where experts and best companies meet

Limitless High-tech career opportunities - Expoint

Applied Materials Data Scientist IV E4 
United States, Texas, Austin 
949321695

31.07.2024

Key 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 andexperiments; Supports
  • Communicates insights and findings from analysis and experiments to product, service and business management to be incorporated into the measuring of effective business processes

Functional Knowledge

Demonstrates depth and/or breadth of expertise in own specialized discipline or field

May lead functional teams or projects with moderate resource requirements, risk, and/or complexity

Problem Solving

Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Interpersonal Skills

Communicates difficult concepts and negotiates with others to adopt a different point of view

Qualifications:

  • Bachelor’s Degree in areas of Computer Science, Engineering, Mechanical, Industrial Engineering etc.
  • Master’s Degree in Computer Science is preferred.
  • 7 to 10 years of Experience in application of ML (Machine Learning) in support of manufacturing environment.
  • Preferred experience with Semiconductor equipment / Manufacturing industry.
  • Ability to collaborate with cross functional teams and have excellent communications skills.
  • Have key achievements as a DS professional and initiatives that have transformed business.
Bachelor's Degree

7 - 10 Years

Full time

Assignee / Regular

$144,000.00 - $198,000.00