Data Scientist
$128,750–$128,750 year
On-siteAustin, Texas, United States
Job Summary
Deliver systems solutions for high-volume semiconductor wafer manufacturing through data analytics, utilizing machine learning and artificial intelligence applications. Integrate manufacturing quality, engineering, production, and support organizations to optimize Time to Detect issues, quality solutions, and incident prevention. Extract, load, and model large amounts of data across multiple platforms using advanced statistical methods and programming skills. Collaborate with subject matter experts to determine practical significance while participating in factory standardization activities across the global footprint. Support data analytics teams across Front end, Assembly, Electronic Business Intelligence, and IT with a customer protection perspective. Requires a Master's degree in Computer Science or Data Science, proficiency in Python, SQL, and C++, and expertise in machine learning, deep learning, and neural networks. Salary is $128,750 per year.
Required Qualifications
- Master's degree in Computer Science, Data Science, foreign equivalent or related field
- Knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 1. Programming language in C++, Python, and SQL
- Knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 2. Pandas and OpenCV
- Knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 3. Computer compiler and algorithms
- Knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 4. Machine learning
- Knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 5. Deep learning language
- Knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 6. Network infrastructure
- Knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 7. Neural networks such as CNN
- Knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 8. Data visualization software
- Knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 9. PyTorch and Sklearn
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