Staff Decision Scientist (International)

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.

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

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.

The UK-based salary range for this position is £99,500 - 117,500 with an additional equity grant. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on job-related knowledge, skills, and experience.

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 questions the OG should be asking.
• Tell stories that move teams to act. You'll present to leadership and working teams with clear narratives and a point of view. A great insight that nobody acts on is a failed insight.
• Establish causality with the right tools for the situation, including A/B testing, analytics, and causal inference. You work with engineering to implement event instrumentation and with Product to translate insights into action.
• Define metrics strategies that measure what matters. Work backward from how users experience the product to develop and implement the measurement frameworks for your OG, in a complex ecosystem with multi-user engagement and many ways to interact with the product.
• Build explanations on top of measurement, always grounding analysis in the reality that users are people with motivations and context the data alone won't tell you.
• Shape the AI-native analytics stack. Lead evaluation and adoption of new tools, agent workflows, and practices that enable self-serve across the OG and move the team from reactive to proactive to autonomous.
• Mentor senior ICs on causal thinking, experimental rigor, and AI-leveraged workflows. Raise the ceiling of the craft.

What We're Looking For

Core Expectations

• Problem-solving mindset: You structure ambiguous problems precisely before reaching for a tool, AI or otherwise.
• Ownership mentality: You take responsibility from framing the question through delivering the recommendation and tracking its impact. You're accountable for decisions changed, not analyses delivered.
• AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams.
• Curiosity and initiative: You don't wait for the roadmap to tell you what to analyze. You dig into data because you're genuinely curious about how things work.
• Influence at scale: You've shaped strategy at the business unit level by framing the right question and making the evidence impossible to ignore.

Desired Experience & Qualifications

• 8+ years in an analytics, data science, or decision science role at a consumer tech company
• Bachelor's degree in a quantitative field (economics, statistics, quantitative social science, operations research)
• Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching)
• Track record of influencing product or business strategy through data, with specific examples of cross-functional impact
• Experience with experimentation platforms (Statsig, Optimizely, or similar)
• Proficiency in SQL and Python/R for statistical analysis

Preferred Qualifications

• Experience with subscription or freemium business models
• Familiarity with international / multi-market analytics
• Experience building dbt models or contributing to analytics engineering workflows
• Background in growth, retention, or lifecycle analytics
• Experience with LTV modeling, incrementality testing, or marketing mix modeling

Our Benefits

• Private comprehensive health & dental insurance
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
• Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
• Paid Parental Leave
• Learning & Development programmes
• Free Life360 Platinum Membership and Tile trackers

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference

• Be a Good Person - We have a team of high integrity people you can trust.
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families.
• High Intensity, High Impact - We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

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