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 helps our customers – who make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more – transform their ideas into reality. Our innovations Make Possible® a Better Future.
Inside our company, we apply the idea of make possible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy, accomplishing great things and empowering others. We are deeply committed to fostering a Culture of Inclusion where every person knows they belong, feels empowered to bring their whole self to work, and is inspired to grow.
TEAM OVERVIEW:
The DIA team in GIS is a dynamic group that leverages data analysis, visualization, and application development to drive business insights. They utilize cutting-edge technologies to transform raw data into actionable information, enabling informed decision-making and process optimization. Joining this team offers the opportunity to work on exciting projects, collaborate with cross-functional teams, and contribute to driving strategic initiatives through data-driven solutions.
KEY RESPONSIBILITIES:
- Supports ad-hoc statistical and data mining analysis, using statistical tools like R, Python, Unix.
- Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis
- Supports project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.
- Supports the design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources
- Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics
TECHNICAL SKILLS:
- Programming skills is Python with knowledge of common libraries like Scikit, numpy, pandas, mathplotlib, keras, tensorflow etc
- Good knowledge in statistics and deep understanding on ML algorithms and their usage
- Knowledge of common Machine Learning techniques related to Time series, Regression, Classification, Clustering, NLP etc.
- Knowledge of visualization tools like Tableau, AngularJ, R-Shiny with libraries to effectively communicate the results/inferences derived out of data science models
REQUIREMENTS/EDUCATION:
Bachelor’s in Engineering or Computer Science with at least 3.0 GPA
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Additional Information
Time Type:
Full timeEmployee Type:
Intern / StudentTravel:
Yes, 10% of the TimeRelocation Eligible:
NoApplied 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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