Lead Data Scientist

Job not on LinkedIn

🔥 3 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $175k - $218k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Life360

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

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.

📋 Description

• Investigate revenue-generating opportunities and data, and use findings to size, scope, and measure product changes in Databricks • Design, build, deploy, and operate production ML systems, including batch inference, online services, and online learning models • Use the team’s feature store and model registry for personalization, experimentation, and automation use cases • Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps to integrate ML systems into user-facing features • Set up monitoring to measure ML feature performance and business impact • Implement lineage tracking for data, code, and model artifacts to keep the ML lifecycle compliant, reproducible, and secure • Improve the data ecosystem and pipelines supporting experimentation and ML • Mentor data scientists and define best practices for advanced analytics and ML system development • Use Claude Code and other AI tools across data discovery, modeling, and experiment evaluation • Help scale production ML delivery and shape the team roadmap with the data science lead and product manager

🎯 Requirements

• Advanced degree in a field that relies on sophisticated statistical analysis or equivalent industry experience • 6+ years of experience scoping, building, and analyzing ML-powered systems, including models shipped to production • Significant experience with Python, scikit-learn, PySpark, and causal inference programming languages • Familiarity with software engineering best practices, including testing, modularization, and version control • Technical training and professional experience applying modern causal inference and causal analysis techniques • Significant experience working with found data, guiding instrumentation, and implementing data transformations • Hands-on experience setting up consumer technology experiments, including experiment design, monitoring, and analysis • Experience building ML or running experiments at a consumer (B2C) technology company • Strong communication and project leadership skills • Ability to influence cross-functional teams • Structured, hypothesis-driven, data-supported problem solving • Prior experience leveraging LLMs in advanced data processing and analysis workflows • Preferred: experience with digital advertising and ad tech infrastructure • Preferred: experience with ranking and grouping algorithms for content feeds • Preferred: experience managing production feature stores and ML model registries • Preferred: experience working with product line GMs, revenue reporting, and forecasting analyses • Preferred: experience with subscription products, lifecycle marketing, or user acquisition • Preferred: experience with geospatial data and mobile location-based services • AI fluency, critical review of AI-generated code and models, and accountability for shipped work • Ability to run parallel AI-assisted workstreams and share AI workflows with the team • Continuous learning about new AI tools and techniques

🏖️ Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees) • Life and disability insurance and supplemental medical and dental plans for Canadian employees • 401(k) plan with company matching program in the US • RRSP with DPSP plan for Canadian employees • Paid parental leave • Mental Wellness Program & Employee Assistance Program (EAP) • Flexible PTO • Companywide holidays • Summer and winter shutdowns • Learning & Development programs • Equipment, tools, and reimbursement support for a productive remote environment • Free Life360 Platinum Membership and Tile trackers • Equity compensation in the form of Restricted Stock Units (RSUs)