Job Details

Weekly Hours: 40

Role Number: 200626114-0157

Summary

The System Quality team is seeking a data science engineer to help us improve software quality for iOS and macOS. We practice agile, fast-paced development that relies heavily on a tight relationship between Engineering and QA. We're looking for critical thinkers who would like to play a key role in developing new tools and processes for the SWE Program group.

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .