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About
Description
On the System Quality team, we are responsible for performing ad hoc data analysis, development and maintenance of distributed data pipelines, and creation of analysis tools. You will need to be familiar with the software development lifecycle of large projects like operating systems.
Minimum Qualifications
3+ years working in data science theory and engineering
Expertise and experience in various facets of machine learning, such as classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling or ranking
Proficiency in data science and analytics, including statistical analysis and A/B testing
Experience designing, conducting, analyzing, interpreting experiments and investigations
BS in Computer Science or equivalent work related experience
Preferred Qualifications
Highly organized, creative, motivated, and passionate about achieving results
Excellent written and verbal communication skills are needed to facilitate close interaction with development teams, management, and other organizations within Apple
Enthusiasm for user-focused design & high-quality technology
Languages
- English
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