Staff Decision Scientist, Advanced Analytics

About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com . Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About The Team The Data & Analytics Team (DnA) is a 60+ person organization spanning data engineering, analytics engineering, analytics/decision science, and data science/ML. The science teams are organized into two sub teams, focusing on MAU and Revenue. This role leads decision science and data science within MAU. You and your team will be responsible for understanding the drivers behind MAU: why members come, why they stay, and why they return. The team partners with product, marketing, and engineering to put those learnings into everyday work, and that work shapes our roadmaps. Our data is unusual for a consumer company. Life360 measures families and circles rather than individuals, so one member's behavior affects another's, which makes measurement a different problem than a standard funnel. With billions of location events, driving behavior, crash detection, and Tile and Pet GPS trackers, we get a rich picture of physical behavior that few consumer companies can build. About the Job We're hiring a Staff Decision Scientist to lead Advanced Analytics: the methods, models, and standards the rest of the data team builds on. You won't be embedded in a single Operating Group (OG). You'll work across all of them, pushing how we run experiments and establish causality, and owning the MAU forecast and growth model that leadership uses to plan the business. You'll report into the Data & Analytics leadership team. Most of your impact will come through other people. You'll partner closely with Decision Scientists, Data Scientists, Analytics Engineers, and Data Engineers, and you'll use AI to make advanced methods repeatable, so rigor doesn't depend on whether you personally touched the project. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, forecasting, clear thinking, and the judgment to know which method fits the question. In your first year, success looks like an experimentation and causal inference standard the team has adopted, and an MAU forecast with tracked accuracy that leadersh