Data Scientist, Audio Telemetry Intelligence

Apple; San Diego (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Apple in San Diego seeks a Data Scientist to advance telemetry intelligence for device experience optimization, focusing on large-scale audio session and device telemetry data to drive predictive and adaptive improvements.

You'll collaborate across audio engineering, ML, and UX, building reliable datasets, ETL pipelines, and analytical workflows to translate insights into product improvements. The role requires strong Python, SQL, and data engineering skills with a passion for audio experiences.

Qualifications

• Bachelor’s or Master’s degree in Data Science, ML, Data Engineering, CS or related quantitative field.
• 3+ years of full-time professional experience in data science, data engineering, or ML roles.
• Strong programming skills in Python for data analysis and automation; Advanced SQL for large-scale datasets.
• Experience building or maintaining data pipelines and ETL/ELT workflows; Experience with distributed data processing frameworks like Apache Spark.

Responsibilities

• Analyze large-scale audio session and device telemetry data to identify patterns in user behavior and system adjustments.
• Develop analytical datasets and workflows that support scalable analysis and experimentation.
• Build and maintain data pipelines that transform raw telemetry into reliable analytical datasets.
• Explore opportunities for predictive or adaptive system behaviors that improve device audio experience.
• Partner with engineering and product teams to translate telemetry insights into actionable product improvements.
• Improve data accessibility and reliability through automation and internal data tooling.
• Support experimentation and data-driven decision making across audio and device interaction scenarios.

Skills

Python for data analysis

SQL

Data pipelines

Statistical analysis

Machine Learning

Big data concepts

Education

Bachelor’s or Master’s in a quantitative field

Tools

Apache Spark

Git

Job description

Summary

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.We'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.

Description

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.The 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.

Key Responsibilities

• Analyze large-scale audio session and device telemetry data to identify patterns in user behavior and system adjustments.
• Develop analytical datasets and workflows that support scalable analysis and experimentation.
• Build and maintain data pipelines that transform raw telemetry into reliable analytical datasets.
• Explore opportunities for predictive or adaptive system behaviors that improve device audio experience.
• Partner with engineering and product teams to translate telemetry insights into actionable product improvements.
• Improve data accessibility and reliability through automation and internal data tooling.
• Support experimentation and data-driven decision making across audio and device interaction scenarios.

Minimum Qualifications

• Bachelor’s or Master’s degree in Data Science, Machine Learning, Data Engineering, Computer Science, or a related quantitative field.
• 3+ years of full-time professional experience in data science, data engineering, or machine learning related roles.
• Strong programming skills in Python for data analysis, scripting, and automation.
• Advanced SQL skills for querying and analyzing large-scale datasets.
• Experience building or maintaining data pipelines and ETL/ELT workflows.
• Experience working with large-scale or distributed data processing frameworks (e.g., Apache Spark).
• Solid understanding of data modeling, data quality, and analytical dataset development.
• Proven work experience with applying statistical analysis or machine learning techniques to behavioral datasets.

Preferred Qualifications

• Experience working with telemetry, or time-series data.
• Familiarity with predictive modeling or pattern detection in large-scale data.
• Experience working with real-time or streaming data pipelines.
• Experience using AI-assisted development tools
• Proven experience working with large-scale data platforms or cloud-based data infrastructure.
• Strong communication skills with the ability to translate complex data insights into actionable recommendations.
• Experience using version control systems such as Git in collaborative environments.