Staff Decision Scientist, Direct Revenue – AI Native

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🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $118.5k - $218.5k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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

• Act as leadership's thought partner on monetization and subscription revenue • Advise executives on where the next dollar of revenue comes from using evidence-based analysis • Shape membership packaging, pricing, paywalls, trials, and upgrade/downgrade paths • Analyze tiers, pricing, and long-term member value • Size and test new revenue opportunities and bundles across the app, Tile, and Pet GPS • Design tests and conduct post-launch analysis • Guide international expansion by prioritizing markets and adapting pricing and packaging • Translate willingness-to-pay, conversion, and retention data into recommendations • Turn complex analysis into clear narratives that change decisions • Apply A/B testing, pricing experiments, and causal inference to measure conversion, retention, and LTV • Lead adoption of AI-native analytics tools and agent workflows • Improve self-service monetization analysis and team velocity • Push back on incorrect questions and unrealistic targets • Align stakeholders on knowns, unknowns, and required research • Mentor Decision Scientists on framing, causal rigor, and executive communication • Review work and help prepare leadership readouts • Report to the Data & Analytics leadership team • Collaborate with data engineers, analytics engineers, data scientists, and ML engineers

🎯 Requirements

• 8+ years in an analytics, data science, or decision science role at a consumer tech company • Direct experience with subscription monetization: pricing, packaging, paywalls, conversion, or churn • Advanced degree in a quantitative field or equivalent practical experience • Demonstrated experience with causal inference methods in applied settings, including difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, and propensity score matching • Track record of partnering with executives and influencing major revenue or strategy decisions • Experience designing and analyzing pricing or monetization experiments using Statsig, Optimizely, or similar • Experience formally or informally mentoring analysts or data scientists • Proficiency in SQL and Python/R for statistical analysis • Executive presence and ability to handle challenging questions • Storytelling and clear communication tailored to different audiences • Ability to push back on leadership respectfully using data • Stakeholder judgment and ability to set realistic expectations • Ownership from question framing through recommendation and impact tracking • Commitment to mentorship • AI-native working style using Claude Code or equivalent • Daily use of AI tools for SQL, Python/R analysis, experiment readouts, and leadership memos • Critical review of AI outputs, queries, statistical assumptions, and causal claims • Continuous learning about experimentation, causal inference, and monetization analytics • Nice-to-have: experience with freemium or multi-tier subscription models • Nice-to-have: experience with international pricing or multi-market launches • Nice-to-have: familiarity with pricing and marketplace analytics • Nice-to-have: experience building dbt models or contributing to analytics engineering workflows • Nice-to-have: experience with hardware-plus-subscription bundles • Experience with LTV modeling or willingness-to-pay research (e.g., conjoint, Van Westendorp)

🏖️ Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees) • Life, disability, and supplemental medical and dental plans for Canadian employees • 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) • 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 • Equity compensation in the form of Restricted Stock Units (RSUs)

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