Note: The job is a remote job and is open to candidates in USA. Life360 is a company dedicated to keeping families connected through innovative technology. They are seeking a Lead Decision Scientist to partner with various teams, driving data-driven insights that influence product development and resource allocation. The role focuses on understanding user behavior and implementing metrics strategies to enhance user experiences on the web.
Responsibilities
- Be the strategic thought partner for cross-functional teams (DTC, web PMs, web engineers, marketing, finance). You architect and evangelize the web analytics roadmaps, and you notice the gap between what the data shows and what the team assumes
- Tell stories that move teams to act. You diagnose and evaluate full-funnel user experiences—from initial traffic acquisition across paid media/SEO down to cart page and checkout micro-conversions. 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. Act as the partner for UI/UX and product teams to scale an agile, statistically sound multivariate experimentation program. You work with engineering to implement event instrumentation and with Product to translate insights into action
- Work backward from an understanding of how users experience our website to develop and implement metrics strategies that measure what matters to our users and our business. This enables a deep understanding of our users and their motivation, in a complex ecosystem with multi-user engagement and many ways to interact with our 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
- Use AI to multiply your impact. You'll use coding agents and automated analysis daily, and help shape what our AI-native analytics stack looks like, contributing to how we move from reactive to proactive to autonomous
Skills
- 6+ 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 Google Analytics 4 (GA4) and/or Adobe Analytics
- Experience with Data Engineering to ingest web event streams into a centralized data environment
- Proficiency in SQL and Python/R for statistical analysis
- Problem-solving mindset: You structure ambiguous problems precisely before reaching for a tool, AI or otherwise
- Ownership mentality: You take responsibility for your work from framing the question through delivering the recommendation and tracking its impact
- 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
- Experience with subscription or freemium business models
- Familiarity with international / multi-market analytics
- Proficiency in Google Tag Manager (GTM) or Tealium (Server-Side deployment experience heavily preferred)
- 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
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
Company Overview
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