Lead Decision Scientist – Web

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $133k - $195k / year

⏰ Full Time

🟠 Senior

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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

• Be the strategic thought partner for cross-functional teams (DTC, web PMs, web engineers, marketing, finance). You architect and evangelize the web analytics roadmaps, and you notice the gap between what the data shows and what the team assumes. • Tell stories that move teams to act. You diagnose and evaluate full-funnel user experiences—from initial traffic acquisition across marketing channels down to each web conversion funnel Identify drop-offs, trends, and opportunities for improved user flow and conversion rate. You'll present to leadership and working teams with clear narratives and a point of view. A great insight that nobody acts on is a failed insight. • Establish causality with the right tools for the situation, including A/B testing, analytics, and causal inference. Act as the partner for DTC and product teams to scale an agile, statistically sound multivariate experimentation program. You work with engineering to implement event instrumentation and with DTC to translate insights into action to improve web metrics and conversion. • Work backward from an understanding of how users experience our website to develop and implement metrics strategies that measure what matters to our users and our business. • Conduct in-dept analysis of consumer behavior to uncover trends and preferences across cohorts, providing actionable insights to inform marketing, merchandising, and product strategies. • Experiments: Work closely with CRO and PM to improve site conversions through extensive A/B testing focused on product pages, checkout, upsells, and merchandising tactics. • Data Ownership: Stitch backend data from various data platforms (Google Analytics, BigQuery, Databricks) and build the eCommerce data pipelines with Data Engineering that support all DTC reporting. • Oversee the analysis of eCommerce KPIs, customer behavior, and digital marketing metrics. Develop and refine dashboards to provide visibility into online performance and identify optimization opportunities. • Build explanations on top of measurement, always grounding analysis in the reality that users are people with motivations and context the data alone won't tell you. • Develop and communicate a clear vision for self-service and operational reporting using industry leading tools and best practices. • Use AI to multiply your impact. You'll use coding agents and automated analysis daily, and help shape what our AI-native analytics stack looks like, contributing to how we move from reactive to proactive to autonomous.

🎯 Requirements

• 6+ years in an analytics, data science, or decision science role at a consumer product company • Advanced degree (bachelor's or beyond) in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experience • Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching) • Track record of influencing product or business strategy through data, with specific examples of cross-functional impact • Experience with experimentation platforms (Statsig, Optimizely, or similar) • Proficiency in Google Analytics 4 (GA4) and/or Adobe Analytics a must • Experience with Data Engineering to ingest web event streams into a centralized data environment • Proficiency in SQL and Python/R for statistical analysis.

🏖️ Benefits

• Competitive pay and benefits. • Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer 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. • Employee Assistance Program (EAP) for mental wellness. • Flexible PTO and 12 company wide days off throughout the year. • Winter and Summer Weeklong Synchronized Company Shutdowns • Learning & Development programs. • Equipment, tools, and reimbursement support for a productive remote environment. • Free Life360 Platinum Membership for your preferred circle. • Free Tile Products