[Remote] Lead Decision Scientist (International)

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 solutions. They are seeking a Lead Decision Scientist to partner with cross-functional teams, shaping product development and resource allocation through data-driven insights. The role involves establishing causality, implementing metrics strategies, and contributing to the AI-native analytics stack.

Responsibilities

• Be the strategic thought partner for cross-functional teams (PMs, engineers, marketing, finance).You understand the roadmaps and users, and you notice the gap between what the data shows and what the team assumes
• 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
• Work backward from an understanding of how users experience our product 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 SQL and Python/R for statistical analysis
• 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

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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