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# Decision Scientist

- **Company:** Life360
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $106,500.0 - $195,500.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Python (Programming Language), SQL Databases, Claude Code, Statsig, Optimizely
- **Published:** November 3, 2026
- **Apply:** https://job-boards.greenhouse.io/life360/jobs/8927766002

## About the Role

* 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 ask whether the product is making people's lives meaningfully better, not just whether a feature moved a metric, * 5+ 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, * Familiarity with growth experimentation design in networked or social contexts
 * Experience building dbt models or contributing to analytics engineering workflows
 * Experience with retention analytics driven by a high quality product experience
 * Experience with subscription or freemium business models

## Description

* 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, including A/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 that tie what users do to why they do it.
 * 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.