Staff Decision Scientist (Strategic Insights)
About the role
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 97.8 million monthly active users (MAU), as of March 31, 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.
Life360 has more than 500 (and growing!) remote-first employees.
About the Team
No other team at Life360 touches every product decision, every experiment, and every revenue lever. Data & Analytics is a 60+ person organization spanning data engineering, analytics engineering, data science, and ML. We're building it to be AI-native, where automation handles the volume so our people can focus on understanding why users behave the way they do, establishing what actually causes what, and turning those findings into action.
About the Job
We're hiring a Staff Decision Scientist to be strategic partners embedded with product, engineering, marketing, and finance teams. People who shape what gets built, how we grow, and where we invest. You'll own the analytical narrative for your area and deliver insights that directly change roadmaps and resource allocation. The output is decisions, not dashboards. You'll also help make the AI-native organization a reality, shaping the tools and workflows that let automation take on more so the team can go deeper. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, clear thinking, and the judgment to know which question matters most.
You'll report into the Data & Analytics leadership team and work alongside data engineers, data scientists, and ML engineers.
What You'll Do
- Own the analytical narrative for your Operating Group (OG). Be the strategic thought partner across cross-functional teams (PMs, engineers, marketing, finance). You understand the roadmaps and users, and you set the agenda for the highest-leverage analyses.