Key responsibilities at this role would includeDriving Power Data Insights: Performing in-depth data analytics and analysis on vast datasets generated by multiple generations of iPhones to find opportunities for power optimization and user experience Machine Learning for Impact: Applying expertise in machine learning techniques to analyze field data and provide actionable recommendations to multi-functional teams guiding design decisions and improving power up Data Infrastructure: Supporting and enhancing our automated power data collection infrastructure for the latest iPhones ensuring the integrity and availability of critical Visual Insights: Creating insightful visualization tools to empower multi-functional teams to effectively understand and interpret power performance data enabling data-driven Use Case Analysis: Leading detailed power analysis of key use cases identifying areas for improvement and contributing to innovative power-saving Future Innovation: Research develop and champion innovative power-saving algorithms and techniques to shape the future of iPhone power management pushing the boundaries of mobile technology.
BS/MS/PhD in Electrical Engineering (EE) or a related field.
5 years of industry experience
Hands-on experience implementing modern machine learning techniques including regression classification and clustering to solve real-world problems.
Proficiency in software tools essential for data analysis and modeling including Matlab C/C R and Python.
MS/PhD in Electrical Engineering (EE) or a related field is preferred
Deep understanding of probability statistics algorithms and mathematics enabling you to develop and interpret sophisticated models
Proven ability to process analyze visualize and data mine large volumes of data to extract actionable insights and drive data-driven decisions
Exceptional communication persuasion and negotiation skills enabling you to effectively convey complex technical information to diverse audiences and drive consensus
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.