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Internship - Wafer Technology: Data Scientist in Unit Process Engineering at Infineon Technologies AG Australia

Samut Prakan, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Collection, Data Cleaning, Exploratory Data Analysis, Statistical Analysis, Hypothesis Testing, Six Sigma, Statistical Process Control, Capability Analysis, Minitab, JMP, KNIME, Tableau, Analytical Skills, Problem-Solving, Attention to Detail, Communication Skills

Industry

Semiconductor Manufacturing

Description

Assisting with data collection, data cleaning, and exploratory data analysis Supporting statistical analysis and hypothesis testing to validatedata-driven insights and model performance Studying 3rd or 4th year in Bachelor's program in Advanced Manufacturing Engineering, Computer Engineering,Electrical/Electronics Engineering, Statistics, Mathematics, or a related discipline Technical Skills: Proficiency in Six Sigma, Statistical Process Control, Capability Analysis Experience with statistical software: Minitab, JMP. Experience with data analytics platform: KNIME Experience with data visualization tools: Tableau Problem-Solving Skills: Strong analytical and problem-solving abilities Attention to Detail: High level of accuracy and attention to detailing coding and testing Communication Skills: Good verbal and written communication skills Team Player: Ability to work collaboratively in a team environmentand take direction from senior engineers 10 positions available We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.

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Responsibilities

Assist with data collection, cleaning, and exploratory data analysis. Support statistical analysis and hypothesis testing to validate data-driven insights and model performance.