Life360

Lead Data Scientist, Devices

Life360

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $146,000 - $214,500 per year

Job Level

Senior

Tech Stack

CloudPandasPythonScikit-LearnSparkSQL

About the role

  • 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