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

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.

For candidates based in the US, the salary range for this position is $148,000 to $218,500 USD. For candidates based out of Canada, the salary range for this position is 164,000 to $193,500 CAD. We take into consideration an individual's background and experience in determining final salary; therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
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, includingA/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
• 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

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Winter and Summer Weeklong Synchronized Company Shutdowns
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.
• Free Tile Products