Crowdsourced Sensing Data Scientist

The Sensing and Connectivity team is committed to developing innovative technology that enhances user safety and makes our devices more intelligent. We are exploring how the incredible sensing, processing, and connectivity of iPhone can be leveraged to detect nearby hazards and deliver timely alerts. We are seeking a data scientist with a strong foundation in statistics, machine learning, and real-time analytics to help design and validate algorithms that operate reliably at a global scale. In this role, you will develop and evaluate statistical and ML-based algorithms using large-scale, crowdsourced sensor data from heterogeneous mobile and edge devices. You will build simulation and replay pipelines, refine data collection strategies, analyze real-time telemetry, and identify the features and signals that most influence model performance.