Lead Decision Scientist (Web)

Life360

3h•$133,000 - $195,000•Remote

About The Position

We're hiring a Lead Decision Scientist (web) to be a strategic partner embedded with Direct To Consumer (DTC), web product, web engineering, marketing, and finance teams. People who shape what gets built, how we grow, and where we invest. You'll own the analytical narrative for your area and deliver insights that directly change roadmaps and resource allocation. The output is decisions, not dashboards. You'll also help make the AI-native organization a reality, shaping the tools and workflows that let automation take on more so the team can go deeper. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, clear thinking, and the judgment to know which question matters most. You'll report into the Director, Marketing Analytics and work alongside marketers, product managers, data engineers, data scientists, and ML engineers. For candidates based in the US, the salary range for this position is $133,000 to $195,000 USD. For candidates based out of Canada, the salary range for this position is 147,500 to 173,000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

Requirements

Problem-solving mindset: You structure ambiguous problems precisely before reaching for a tool, AI or otherwise.
Ownership mentality: You take responsibility for your work from framing the question through delivering the recommendation and tracking its impact.
AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams.
Curiosity and initiative: You don't wait for the roadmap to tell you what to analyze. You dig into data because you're genuinely curious about how things work.
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

Nice To Haves

Experience with subscription or freemium business models
Familiarity with international / multi-market analytics
Proficiency in Google Tag Manager (GTM) or Tealium (Server-Side deployment experience heavily preferred).
Experience building dbt models or contributing to analytics engineering workflows
Experience with revenue forecasting frameworks for eCommerce businesses
Experience with LTV modeling, incrementality testing, or marketing mix modeling

Responsibilities

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.

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