Senior Director, Analytics and Data Science, Core Product & Growth
Leads data science and analytics for MAU growth at a family-focused mobile app company, driving experiments, models, and AI-native workflows to improve user retention and engagement.
- Compensation
- $247K–$366K / yr
- Location
- Remote, USA; Remote, Canada
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- 10+ years in analytics, data science, or decision science, including 5+ years in people management in a senior leadership role
- Deep expertise in inferential and causal analytics; able to lead ML practitioners
- Expert knowledge of engagement, retention, churn, and cohort metrics
- Experience forecasting a company-level metric and being held accountable for it
- Proficiency in SQL, plus Python or R
- Experience with Databricks, third-party experimentation tools (e.g., Statsig), Tableau or similar BI tools, and AI-native BI tools (e.g., Hex)
- Hands-on experience with coding agents (e.g., Claude Code) in analytical work
- Bachelor’s degree or equivalent
Nice to have
- Familiarity with experiment design to identify and control for network effects
- Master’s degree or PhD with emphasis in social science, psychology, or behavioral science
- Experience leading a team embedded with product and engineering teams
- Experience in a B2C subscription business
Full description
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 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
This Senior Director leads MAU Analytics and Data Science.