Data Scientist, Audio Telemetry Intelligence
Core
Analyzing large-scale audio session and device telemetry data to uncover user behavior patterns and system adjustments for predictive and adaptive audio improvements.
Role type
Senior IC data scientist (audio telemetry)
Builds
Reliable analytical datasets, data pipelines, and workflows for audio experience optimization
Domain
Consumer electronics / Audio technology / Telemetry intelligence
Deliverable
production ML models
Required skills
Python, SQL, data pipeline development, ETL/ELT workflows, distributed data processing (Apache Spark), statistical analysis, machine learning techniques
Preferred skills
Telemetry analysis, time-series data, predictive modeling, streaming data pipelines, cloud-based data infrastructure, AI-assisted development tools
Technologies
Apache Spark, Python, SQL, Git
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.
Seniority
Senior, hands-on IC
