Lead Data Scientist, Devices

Bachelor’s in data science, computer science, statistics, or related field 5+ years experience as a Data Scientist on complex projects and large datasets Experience in ML models for time-series, signal processing, or embedded systems applications Strong background in consumer hardware/device data (telemetry, sensors, usage logs) Expertise in ML for personalization, anomaly detection, and predictive modeling Skilled in building pipelines that operationalize device data for analytics and production ML Hands-on experience with sensor data (e.g., IMU, GPS, BLE) in real-world scenarios Strong problem-solving skills Excellent communication and collaboration skills Python, including Pandas and Scikit-learn SQL and Spark Experience using Databricks (or similar infrastructure) and its AI/ML capabilities

Optimize data sampling, preprocessing, and inference pipelines on constrained devices Mentor data scientists and analysts Design experiments to collect labeled training data Focus on improving device usability and member experience through data Contribute to patentable IP and long-term ML roadmap for intelligent hardware Stay up-to-date with the latest advancements in data science and machine learning