Senior Decision Scientist, Core Experiences - Life360

About Life360

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 102.4 million monthly active users (MAU) across more than 180 countries.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions can be performed remotely within the US.

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.

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.

About the Job

We're hiring a Senior Decision Scientist to be a strategic partner embedded with product and engineering teams. Someone who shapes 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. This is not a production ML role—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.

What You’ll Do

• Be the strategic thought partner for cross-functional teams (PMs, engineers, marketing, finance).
• Tell stories that move teams to act, presenting to leadership and working teams with clear narratives and a point of view.
• Establish causality with the right tools for the situation, including A/B testing, analytics, and causal inference.
• Work backward from an understanding of how users experience our product to develop and implement metrics strategies that measure what matters.
• Build explanations on top of measurement that tie what users do to why they do it.
• Use AI to multiply your impact, using coding agents and automated analysis daily to help shape our AI-native analytics stack.

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 for your work from framing the question through delivering recommendations and tracking impact.
• AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner.
• Curiosity and initiative: You ask whether the product is making people’s lives meaningfully better.

Desired Experience & Qualifications

• 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.

Preferred Qualifications

• 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.

Benefits & Compensation

• Salary Range: $106,500 - $195,500 USD (Base salary varies by geographic location and experience).
• Equity: Restricted Stock Units (RSUs).
• Health Coverage: Medical, dental, vision, life, and disability insurance plans (100% paid for employees).
• Financial: 401(k) plan with company matching program.
• Parental Support: Paid parental leave.
• Wellness: Mental Wellness Program & Employee Assistance Program (EAP).
• Time Off: Flexible PTO, companywide holidays, plus summer and winter shutdowns.
• Remote Perks: Equipment, tools, and reimbursement support for remote work.
• Perks: Free Life360 Platinum Membership and Tile trackers.

Life360 Values

• 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.