Staff Decision Scientist, Direct Revenue – AI Native

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Act as a strategic advisor to leadership on subscription monetization and revenue strategies.

• Collaborate closely with executives overseeing subscription revenue.

• Evaluate membership tiers, pricing strategies, paywalls, trial periods, and upgrade/downgrade options.

• Assess and experiment with new revenue opportunities and bundles across Life360, Tile, and Pet GPS products.

• Facilitate international market growth by utilizing willingness-to-pay, conversion, and retention analytics.

• Transform intricate analyses into straightforward narratives and actionable recommendations.

• Employ A/B testing, pricing trials, and causal inference to assess conversion rates, retention, and lifetime value (LTV) determinants.

• Spearhead the integration of AI tools and agent workflows to expedite self-service monetization analysis.

• Challenge incorrect inquiries, recalibrate unrealistic objectives, and unify stakeholders based on evidence and uncertainty.

• Guide Decision Scientists in framing, causal methodology, and effective executive communication.

• Report to the Data & Analytics leadership team while collaborating with data engineers, analytics engineers, data scientists, and ML engineers.

⛳️ Requirements

• Over 8 years of experience in an analytics, data science, or decision science role within a consumer technology firm.

• Proven expertise in subscription monetization, including pricing, packaging, paywalls, conversion, or churn management.

• Advanced degree in a quantitative discipline or equivalent hands-on experience.

• Proven track record with causal inference techniques in practical applications, such as difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, and propensity score matching.

• History of collaborating with executives and influencing significant revenue or strategic decisions.

• Experience in designing and analyzing pricing or monetization tests using Statsig, Optimizely, or comparable platforms.

• Experience in formal or informal mentorship of analysts or data scientists.

• Proficiency in SQL and Python/R for conducting statistical analyses.

• Strong executive presence with the ability to address challenging questions and engage in respectful disagreement.

• Ability to convey data stories clearly to CEOs, product managers, and engineers.

• Strong stakeholder judgment, ownership mindset, and dedication to mentorship.

• AI-native working style utilizing Claude Code or similar technologies.

• Regular use of AI tools for SQL, Python/R analysis, experiment results, and leadership communications.

• Critical evaluation of AI outputs, statistical assumptions, queries, and causal assertions.

• Nice to have: experience with freemium or multi-tier subscription models, international pricing strategies, marketplace analytics, dbt, analytics engineering processes, hardware-plus-subscription bundles, LTV modeling, or willingness-to-pay research.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans fully covered for US employees.

• Life and disability insurance, along with supplemental medical and dental plans for Canadian employees.

• 401(k) plan with a company matching program for US employees.

• RRSP with DPSP plan available for Canadian employees.

• Paid parental leave benefits.

• Mental Wellness Program & Employee Assistance Program (EAP).

• Flexible paid time off (PTO).

• Company-wide holidays, along with summer and winter breaks.

• Opportunities for Learning & Development programs.

• Provision of equipment, tools, and reimbursement support for an effective remote work environment.

• Complimentary Life360 Platinum Membership and Tile trackers.

• Equity compensation through Restricted Stock Units (RSUs).