Imagine what you could do at Apple! Everyday, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. The Media Graphics Compute Technologies (MGC) group is at the center of audio, video, and graphics in Apple's innovative products, including the iPhone, iPad, Mac, Apple Watch, AirPods, HomePod, Apple TV and Vision Pro. Our work directly impacts the end-user experience through impactful features such as Adaptive Noise Control, Conversation Awareness, FaceTime, Siri, media playback, and Conversation Boost, to name just a few. \\n\\nWe're seeking an experienced Data Scientist to join our Audio Technology team, focusing on developing and optimizing audio experiences across our portfolio of consumer electronics. You'll work at the intersection of audio engineering, machine learning, and user experience, analyzing complex datasets to drive improvements in sound quality, noise cancellation, voice recognition, and acoustic performance.
We are seeking a Data Scientist to help advance telemetry intelligence for device experience optimization. This role focuses on analyzing large-scale audio session and device telemetry data to uncover patterns in user behavior and system adjustments, enabling opportunities for predictive and adaptive system improvements.\nThe ideal candidate combines strong data analysis and programming skills with experience working with large-scale datasets. This role will partner with data scientists and engineers to build reliable datasets, develop analytical workflows, and translate telemetry insights into data-driven improvements to device audio experiences.\n
\nBachelor's or Master's degree in Data Science, Machine Learning, Data Engineering, Computer Science, or a related quantitative field.\n3+ years of full-time professional experience in data science, data engineering, or machine learning related roles.\nStrong programming skills in Python for data analysis, scripting, and automation.\nAdvanced SQL skills for querying and analyzing large-scale datasets.\nExperience building or maintaining data pipelines and ETL/ELT workflows.\nExperience working with large-scale or distributed data processing frameworks (e.g., Apache Spark).\nSolid understanding of data modeling, data quality, and analytical dataset development.\nProven work experience with applying statistical analysis or machine learning techniques to behavioral datasets.\n
\nExperience working with telemetry, or time-series data.\nFamiliarity with predictive modeling or pattern detection in large-scale data.\nExperience working with real-time or streaming data pipelines.\nExperience using AI-assisted development tools\nProven experience working with large-scale data platforms or cloud-based data infrastructure.\nStrong communication skills with the ability to translate complex data insights into actionable recommendations.\nExperience using version control systems such as Git in collaborative environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 9b47516a84bc4aa997e45d0d132a7e58
- Posted 19 hours ago
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