Staff Decision Scientist, Advanced Analytics

Life360

. Own and maintain the MAU forecast and growth model in Python and SQL .

Posted 10/27/2026full-timeRemote • United States, CanadaLead💰 $130,500 - $242,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in causal inference methods and advanced analytics, with proficiency in Python and SQL for statistical analysis. Capable of mentoring teams and influencing analytical standards across consumer tech environments.

Highest-signal resume keywords

Causal Inference MethodsForecast Model DevelopmentExperiment Design and AnalysisPython and SQL ProficiencyAI Tooling Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceStatistical AnalysisForecast ModelingExperiment DesignVariance ReductionSequential TestingBayesian MethodsLTV ModelingData AnalysisAnalytical Standards

Soft Skills

MentoringCollaborationInfluencing

Tools & Technologies

StatsigOptimizelyClaude CodeDbt

Industry Keywords

Consumer TechSubscription ModelsFreemium ModelsGrowth AnalyticsRetention AnalyticsLifecycle AnalyticsInternal ToolingInternational Analytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own and maintain the MAU forecast and growth model in Python and SQL
Set standards for experiment design and analysis, including power, metric selection, variance reduction, sequential testing, heterogeneous effects, and interference
Apply quasi-experimental causal inference methods and develop reusable analytical approaches
Define and document best practices and review analyses across operating groups
Collaborate with Decision Scientists, Data Scientists, Analytics Engineers, and Data Engineers
Build AI agent workflows, templates, and tools to scale advanced analytics
Mentor through analysis and code reviews, internal talks, and written guides
Translate forecasts and causal findings into clear recommendations for leadership

Requirements

What you’ll need

8+ years in an analytics, data science, or decision science role at a consumer tech company
Advanced degree in a quantitative field or equivalent practical experience
Deep, applied experience with causal inference methods
Experience building and owning a forecast or growth model for a core business metric
Expertise in experiment design and analysis at scale, including variance reduction, sequential testing, and network effects or interference
Experience with experimentation platforms such as Statsig or Optimizely
Track record of setting analytical standards and mentoring other data scientists
Proficiency in SQL and Python/R for statistical analysis
Methodological depth and judgment
AI tooling experience, such as Claude Code or equivalent
Ability to influence adoption of standards and methods across teams
Experience with subscription or freemium business models, growth, retention, lifecycle analytics, Bayesian methods, LTV modeling, internal tooling, dbt, or international analytics are preferred

Benefits

Comp & perks

Total compensation includes Restricted Stock Units (RSUs)
Medical, dental, vision, life and disability insurance plans (100% paid for US employees)
401(k) plan with company matching program in the US
Paid parental leave
Mental Wellness Program & Employee Assistance Program (EAP)
Flexible PTO, companywide holidays, summer and winter shutdowns
Learning & Development programs
Equipment, tools, and reimbursement support for a productive remote environment
Free Life360 Platinum Membership and Tile trackers