Data Scientist IV
E4
Posted on 3/22/2024
Applied Materials

10,001+ employees

Materials engineering for chips & displays
Company Overview
Applied Materials stands at the forefront of materials engineering for semiconductor and display manufacturing, offering a unique value proposition through its ability to engineer materials with precision at the atomic level, which is critical for the production of cutting-edge chips and advanced displays. Their expertise in scaling these processes to industrial volumes gives them a competitive edge, as it directly addresses the high-demand, fast-paced evolution of the tech industry. The company's commitment to enabling technological advancements positions it as a key player in shaping the future of electronics, making it an attractive workplace for those interested in contributing to the next wave of tech innovation.
Industrial & Manufacturing

Company Stage

N/A

Total Funding

$108.2M

Founded

1967

Headquarters

Santa Clara, California

Growth & Insights
Headcount

6 month growth

2%

1 year growth

7%

2 year growth

3%
Locations
Austin, TX, USA • Santa Clara, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
Data Analysis
CategoriesNew
Data Science
Data & Analytics
Requirements
  • Bachelor's Degree
  • Master's Degree
  • 7-10 Years of Experience
  • ML (Machine Learning) in support of manufacturing environment
  • Semiconductor equipment / Manufacturing industry
  • Collaboration with cross functional teams
  • Excellent communications skills
  • Key achievements as a DS professional
Responsibilities
  • Design and development of program methods, processes, and systems
  • Complicated statistical and data-mining analysis
  • Deriving insights and working with business units to determine actions and KPIs
  • Developing difficult analytical models, algorithms, and automated processes
  • Interacting with product and service teams for data analysis and experiments
  • Supporting the timely development of products for manufacturing and process information
  • Communicating insights and findings from analysis and experiments
  • Demonstrating depth and/or breadth of expertise in own specialized discipline or field
  • Interpreting internal/external business challenges and recommending best practices
  • Leading functional teams or projects with moderate resource requirements, risk, and/or complexity
  • Leading others to solve complex problems
  • Impacting the achievement of customer, operational, project, or service objectives
  • Communicating difficult concepts and negotiating with others to adopt a different point of view