Data Scientist Audio Analytics

Apple • San Diego, CA

3d

About The Position

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.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related quantitative field.
• 3+ years of 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.
• Experience using version control systems such as Git in collaborative environments.

Nice To Haves

• Experience working with telemetry, or time-series data.
• Experience applying statistical analysis or machine learning techniques to behavioral datasets.
• Familiarity with predictive modeling or pattern detection in large-scale data.
• Experience working with real-time or streaming data pipelines.
• Familiarity with data visualization tools such as Tableau, matplotlib, or seaborn.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees