Summary

You will be exposed to all aspects of the technology and require to understand the full system’s behavior in order to characterize and resolve system-level issues, typically by applying multi-disciplinary approach.


In this highly versatile role as a Data Scientist & Evaluation Engineer, you will help define Apple's next generation of video engineering solutions for our extraordinary products. The insights that you will provide, by analyzing & evaluate big data, will have a direct impact on Apple's products advise strategic directions and improve user experience.


Key Qualifications

3+ years experience as a data scientist or any similar role


Technical proficiency regarding database design development, data models, techniques for data mining and data analysis


Experience in designing & evaluating system level features in a ML based algorithms


Proficient with Python


Experience working both independently and in a team-oriented, collaborative environment


Proven track record to work creatively and analytically in a problem-solving environment demonstrating innovation and excellence


Proactive with proven creative and critical thinking capabilities


Ability to lead multiple tasks and prioritize work accordingly


Experience in visualizing and presenting data insight - Advantage


Experience in Optics and imaging system - Advantage


Description

THE RESPONSIBILITIES OF THE ROLE ARE:


Use-case driven tests & KPI definition methodology


Work closely with variety of technical leaders to use big data with deep system & algorithmic understanding to drive to deliver practical insights to relevant decision-makers and assist in sophisticated problem solving


Using statistical tools to identify, analyze, and interpret patterns and trends in sophisticated data sets that could be useful for the diagnosis and prediction


Develop and maintain databases by acquiring data from primary and secondary sources


Develop and implement scalable and flexible software tools that will improve data gathering, evaluation, processing, and analysis


Education & Experience

BSc or higher in CS / EE / other relevant engineering degree


Role Number: 200488574