- Develop mathematical models to predict critical metrics from large data sets
- Build a pipeline to read text data from BKMs and summarize based on predefined rule sets
- Design SW applications to automate routine tasks in model and pipeline development
- Data Analysis Skills: Statistical Methods (Regression, Clustering); Machine Learning; NLP
- SW Applications: Python; SQL;
Qualifications
Education:
Bachelor's Degree (Required)
Skills:
Certifications:
Languages:
Years of Experience:
Work Experience:
Additional Information
Time Type:
Full time
Employee Type:
Intern / Student
Travel:
Yes, 10% of the Time
Relocation Eligible:
Yes
Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
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What We Do
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.
