Life360 is seeking a Lead Data Scientist to help the company grow by solving real-world problems in a fast-paced environment. The role aims to drive key insights and recommendations, enhance user experience, increase product efficiency, and evolve safety solutions using data from various platforms.
Requirements
- Experience in ML models for time-series, signal processing, or embedded systems applications is highly desirable
- 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
- Python, including Pandas and Scikit-learn
- SQL and Spark
Responsibilities
- Partner with Product, Hardware, Firmware, and GTM teams to optimize data sampling, preprocessing, and inference pipelines on constrained devices
- Design experiments to collect labeled training data from real-world usage scenarios
- Focus on improving device usability and member experience through data.
- Contribute to patentable IP and long-term ML roadmap for intelligent hardware
- Research and Innovation: Stay up-to-date with the latest advancements in data science and machine learning, bringing innovative ideas and best practices to the team and the company.
Other
- Proven experience (5+ years) as a Data Scientist, working on complex projects and large datasets
- Strong problem-solving skills and the ability to tackle open-ended, challenging, data-related problems
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
- Proven track record of successfully delivering data-driven insights and solutions that have a significant impact on product and business decisions
- Experience using Databricks (or similar infrastructure) and its AI/ML capabilities
