Data Scientist

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.\nThe 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.\n

\nBachelor's or Master's degree in Data Science, Machine Learning, Data Engineering, Computer Science, or a related quantitative field.\n3+ years of full-time professional experience in data science, data engineering, or machine learning related roles.\nStrong programming skills in Python for data analysis, scripting, and automation.\nAdvanced SQL skills for querying and analyzing large-scale datasets.\nExperience building or maintaining data pipelines and ETL/ELT workflows.\nExperience working with large-scale or distributed data processing frameworks (e.g., Apache Spark).\nSolid understanding of data modeling, data quality, and analytical dataset development.\nProven work experience with applying statistical analysis or machine learning techniques to behavioral datasets.\n

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