Life360 - Staff Decision Scientist, Advanced Analytics
Requirements
• Core Expectations • Methodological depth with judgment: You know the assumptions behind each method, when they break, and when a simpler approach is the better answer. • Methodological depth with judgment: • 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. • Ownership mentality: • 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. You think about how AI can scale the work of the whole team, not only your own. • AI-native working style: • Multiplier mindset: You measure your success by how much better the team's work gets. You enjoy teaching and you're patient with people learning new methods. • Multiplier mindset: • Influence without authority: You've driven adoption of standards and methods across teams you don't manage by making the case clearly and making the right way the easy way. • Influence without authority: • 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). • 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.
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. • Own the MAU forecast and growth model. • 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. • Raise the bar on experimentation. • 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. • Push our causal inference toolkit forward. • 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. • Set the methodological standard for the data team. • 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. • Collaborate across disciplines. • 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. • Scale advanced analytics through AI. • 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. • Teach and mentor. • 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. • Make complex methods land with leadership.
Benefits
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as 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. • 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. • Life360 Values • Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference • 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. • Our Commitment to Diversity • We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
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