Staff Decision Scientist (International)

About the Position

Staff Decision Scientist (International)

Life360 is seeking a Staff Decision Scientist to join their Data & Analytics team in Central London, focusing on strategic decision-making and AI-native analytics.

About the Company

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. 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.

About the Team

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.

Responsibilities

• 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.

Requirements

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
• Advanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experience
• 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

We Offer

• Industry leading compensation
• Hybrid working in central London with flexibility to do remote working weeks
• Generous holiday options with flexible PTO
• Bi-annual company retreats
• Learning & Development programmes
• Private comprehensive health & dental insurance
• Employee assistance programme for mental well being
• Free Life360 Platinum Membership for your preferred circle
• Free Tile Products

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.

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