Data Scientist, Audio Telemetry Intelligence

What you'll do

• Analyze audio and device telemetry, and develop scalable analytical datasets and workflows.
• Build and maintain pipelines that transform raw telemetry into reliable datasets; improve data accessibility and reliability through automation and internal tools.
• Partner with engineering and product teams to turn insights into product improvements and support experimentation.

What they ask for

• Bachelor’s or Master’s degree in Data Science, Machine Learning, Data Engineering, Computer Science, or a related quantitative field.
• Strong Python programming and advanced SQL skills.
• Experience building or maintaining data pipelines and ETL/ELT workflows, and working with large-scale or distributed data processing frameworks (e.g., Apache Spark).
• Experience applying statistical analysis or machine learning techniques to behavioral datasets; solid understanding of data modeling, data quality, and analytical dataset development.

Nice to have

• Experience with telemetry or time-series data, predictive modeling or pattern detection, or real-time/streaming data pipelines.
• Experience with AI-assisted development tools, large-scale data platforms or cloud infrastructure, or Git.

Pay

USD $144,600 to $263,800 base salary

Tools

Python, SQL, ETL/ELT, Apache Spark, Git

AI focus

Explore predictive or adaptive system behaviors that improve device audio experiences; apply machine learning techniques to behavioral datasets.