מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
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.
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