[Remote] Staff Decision Scientist, Advanced Analytics

Note: The job is a remote job and is open to candidates in USA. Life360 is hiring a Staff Decision Scientist to lead advanced analytics across its operating groups, setting methodological standards and owning the MAU forecast and growth model. The role advances experimentation and causal inference, scales analytics through AI-enabled workflows, and mentors teams to make rigorous findings actionable.

Responsibilities

• Own the MAU forecast and growth model. Build and maintain the model (Python, SQL) that breaks MAU into registration, retention, and reactivation, and that leadership relies on for planning and target-setting. Make the assumptions explicit, track forecast accuracy, and explain the misses
• Raise the bar on experimentation. Set the standard for experiment design and analysis: power, metric selection, variance reduction, sequential testing, heterogeneous effects, and interference in a product where users share Circles with family and friends. Be the reviewer the team seeks out for high-stakes tests
• Push our causal inference toolkit forward. When a clean experiment isn't possible, bring the right quasi-experimental method (difference-in-differences, synthetic controls, regression discontinuity, instrumental variables, and others) and turn one-off analyses into reusable approaches others can apply
• Set the methodological standard for the data team. Define and document best practices, review analyses across OGs, and be the go-to person for hard methods questions
• Collaborate across disciplines. Work with OG-embedded Decision Scientists on their toughest problems, with Data Scientists on modeling approaches, and with Analytics Engineers and Data Engineers to turn methods into durable data models, metrics, and tooling
• Scale advanced analytics through AI. Build agent workflows (Claude Code or equivalent), templates, and tools that let the team run forecasts, experiment readouts, and causal analyses faster and more consistently. Treat every repeated analysis as a candidate for automation
• Teach and mentor. Level up the craft across the org through mentorship, analysis and code reviews, internal talks, and written guides. Raise the ceiling for senior ICs and the floor for everyone else
• Make complex methods land with leadership. Translate forecasts and causal findings into clear recommendations with a point of view. A rigorous result nobody acts on is a failed result

Skills

• 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
• Experience with subscription or freemium business models
• Background in growth, retention, or lifecycle analytics
• Experience with Bayesian methods or probabilistic programming (e.g., PyMC, Stan)
• Experience with LTV modeling, incrementality testing, or marketing mix modeling
• Experience building internal tooling or AI agent workflows for analytics teams
• Experience building dbt models or contributing to analytics engineering workflows
• Familiarity with international / multi-market analytics

Benefits

• Restricted Stock Units (RSUs)
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees).
• For Canadian employees: life and disability as well as supplemental plans for medical and dental.
• 401(k) plan with company matching program in the US.
• RRSP with DPSP plan for Canadian employees.
• Paid parental leave.
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being.
• 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.
• Remote work is the primary experience for all employees; positions can be performed remotely within the US and Canada.

Company Overview

Company H1B Sponsorship