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Lead Data Scientist, Devices (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of Life360. We are currently looking for a Lead Data Scientist, Devices in United States.. In this role, you will lead efforts to extract actionable insights from device and mobile data to enhance user experiences and drive product innovation. You will work at the intersection of hardware, firmware, and data science, designing machine learning models, optimizing data pipelines, and translating complex datasets into impactful decisions. Collaborating with cross-functional teams, you will influence product direction, mentor team members, and contribute to the development of intelligent, scalable solutions that power connected devices. This is a high-impact position in a fast-paced, remote-first environment where innovation and technical excellence are highly valued.. Accountabilities. ·         Lead the design, development, and deployment of machine learning models for devices, including personalization, predictive modeling, and anomaly detection.. ·         Collaborate with firmware, hardware, and product teams to optimize data collection, preprocessing, and inference pipelines on constrained devices.. ·         Mentor data scientists and analysts, fostering technical growth and increasing team impact.. ·         Design experiments to collect and label real-world usage data for model training.. ·         Contribute to patentable intellectual property and the long-term ML roadmap for device intelligence.. ·         Stay abreast of advances in data science and machine learning, applying innovative ideas and best practices to projects and the team.. ·         Bachelor’s degree in Data Science, Computer Science, Statistics, or related field. Advanced degrees preferred.. ·         5+ years of experience as a data scientist, working with complex datasets and delivering measurable insights.. ·         Expertise in machine learning models for time-series, signal processing, or embedded systems.. ·         Strong background with consumer hardware/device data, including telemetry, sensors, and usage logs.. ·         Hands-on experience with Python (Pandas, Scikit-learn), SQL, Spark, and ML platforms such as Databricks.. ·         Proven ability to operationalize device data pipelines for analytics and production ML.. ·         Strong problem-solving skills and the ability to address open-ended, complex data challenges.. ·         Excellent communication and collaboration skills in cross-functional, remote-first teams.. Company Location: United States.