Data Scientist, Audio Telemetry Intelligence

What you'll do

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

What we're looking for

• 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 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 like Apache Spark.
• Solid understanding of data modeling, data quality, and analytical dataset development.
• Proven experience applying statistical analysis or machine learning techniques to behavioral datasets.
• Experience with telemetry, time-series data, predictive modeling, or real-time streaming pipelines (preferred).
• Experience using AI-assisted tools, large-scale cloud infrastructure, Git, and strong communication skills (preferred).