Staff Decision Scientist, Advanced Analytics

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $130.5k - $242.5k / year

⏰ Full Time

🔴 Lead

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Life360

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

B2C • Safety • Telecommunications

Life360 is a leading family safety app that offers a comprehensive suite of services for location and digital safety. With Life360, users can effortlessly share their location, track their phones, and manage driving safety measures, including crash detection and 24/7 roadside assistance. The app includes features for digital safety, such as identity theft protection and SOS alerts, ensuring protection and prevention for each family member. Life360's plans, which include free, Gold, and Platinum options, are designed to accommodate various needs, offering peace of mind with advanced safety and coordination tools. The app is trusted by millions of users and is highly rated on app stores for its efficiency and reliability in connecting family members and ensuring their safety.

📋 Description

• 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

• 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

• 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