[Hiring] Staff Decision Scientist @Life360

Role Description

We're hiring a Staff Decision Scientist to lead Advanced Analytics: the methods, models, and standards the rest of the data team builds on. You won't be embedded in a single Operating Group (OG). You'll work across all of them, pushing how we run experiments and establish causality, and owning the MAU forecast and growth model that leadership uses to plan the business. You'll report into the Data & Analytics leadership team.

Most of your impact will come through other people. You'll partner closely with:

• Decision Scientists
• Data Scientists
• Analytics Engineers
• Data Engineers

You will use AI to make advanced methods repeatable, so rigor doesn't depend on whether you personally touched the project. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, forecasting, clear thinking, and the judgment to know which method fits the question.

In your first year, success looks like:

• An experimentation and causal inference standard the team has adopted
• An MAU forecast with tracked accuracy that leadership uses for planning

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
• Deep, applied experience with causal inference methods (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching)
• Experience building and owning a forecast or growth model for a core business metric (e.g., MAU, DAU, subscribers, revenue), including cohort- or component-based approaches
• Expertise in experiment design and analysis at scale, including variance reduction, sequential testing, and network effects or interference
• Experience with experimentation platforms (Statsig, Optimizely, or similar)
• Track record of setting analytical standards and mentoring other data scientists
• Proficiency in SQL and Python/R for statistical analysis

Requirements

• Ownership mentality: You own the forecast and the standards end to end, including tracking whether they hold up and fixing them when they don't
• AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner
• Multiplier mindset: You measure your success by how much better the team's work gets
• Influence without authority: You've driven adoption of standards and methods across teams you don't manage

Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees)
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees
• Paid parental leave
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
• Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free Life360 Platinum Membership and Tile trackers