Lead Data Scientist, Devices

September 3

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Life360

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B2C • Safety • Telecommunications

Life360 is a leading family safety app that offers a comprehensive suite of services for location and digital safety. With Life360, users can effortlessly share their location, track their phones, and manage driving safety measures, including crash detection and 24/7 roadside assistance. The app includes features for digital safety, such as identity theft protection and SOS alerts, ensuring protection and prevention for each family member. Life360's plans, which include free, Gold, and Platinum options, are designed to accommodate various needs, offering peace of mind with advanced safety and coordination tools. The app is trusted by millions of users and is highly rated on app stores for its efficiency and reliability in connecting family members and ensuring their safety.

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

📋 Description

• Provide subject matter expertise and thought leadership in data analysis, machine learning, and statistical modeling to drive company growth • Build relationships with key stakeholders and identify internal and external opportunities for data-driven product features and services • Develop new insights, product features, and scalable services using data from mobile, cloud, and third-party platforms • Participate in entire project lifecycle from concept, requirements, and design to rapid prototyping, production, and hypothesis testing • Collaborate with firmware, hardware, product, and GTM teams to optimize data sampling, preprocessing, and inference pipelines on constrained devices • Mentor data scientists and analysts, raising technical and business impact • 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 • Stay up-to-date with latest advancements in data science and machine learning and bring innovative ideas and best practices to the team

🎯 Requirements

• Bachelor’s in data science, computer science, statistics, or related field • Proven experience (5+ years) as a Data Scientist, working on complex projects and large datasets • 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 • Strong problem-solving skills and ability to tackle open-ended, challenging, data-related problems • Excellent communication and collaboration skills • Proven track record of successfully delivering data-driven insights and solutions that have a significant impact on product and business decisions • Python, including Pandas and Scikit-learn • SQL and Spark • Experience using Databricks (or similar infrastructure) and its AI/ML capabilities

🏖️ Benefits

• Competitive pay and benefits • Medical, dental, vision, life and disability insurance plans (100% paid for employees) • 401(k) plan with company matching program • Mental Wellness Program & Employee Assistance Program (EAP) for mental well being • Flexible PTO, 13 company-wide days off throughout the year • Winter and Summer Week-long Synchronized Company Shutdowns • Learning & Development programs • Equipment, tools, and reimbursement support for a productive remote environment • Free Life360 Platinum Membership for your preferred circle • Free Tile Products • Compensation package includes equity and other financial benefits