Lead Decision Scientist, Product
Life360 · Remote, US; Remote, Canada
Posted about 3 months ago · $133,000 to $195,000
or apply directly on Life360's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Life360's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- Yes 95% of Life360's roles list one
- Ghost-job risk at Life360
- high 19 stale, 0 reposted of 20 open
- Hiring momentum
- 43 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Life360's own greenhouse board since 2026-08-03. Full hiring picture for Life360.
About this role
As a Lead Decision Scientist at Life360, you'll partner with product and engineering teams to drive strategic decisions based on data insights. Your role involves shaping analytical narratives that influence product roadmaps and resource allocation, focusing on understanding user behavior and establishing causality through various analytical methods. You'll also contribute to the development of an AI-native analytics environment, utilizing tools to enhance decision-making processes.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Life360 as an employer.
What you need
- 6+ years in an analytics, data science, or decision science role at a consumer tech company
- Bachelor's degree in a quantitative field (economics, statistics, quantitative social science, operations research)
- Demonstrated experience with causal inference methods in applied settings
- Track record of influencing product or business strategy through data
- Experience with experimentation platforms (Statsig, Optimizely, or similar)
- Proficiency in SQL and Python/R for statistical analysis
Nice to have
- Experience with subscription or freemium business models
- Familiarity with international / multi-market analytics
- Experience building dbt models or contributing to analytics engineering workflows
- Background in growth, retention, or lifecycle analytics
- Experience with LTV modeling, incrementality testing, or marketing mix modeling
What you get
- Medical, dental, vision, life and disability insurance plans (100% paid for US employees)
- 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees
- Paid parental leave
- Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
- Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
- Learning & Development programs
Worth weighing
- Salary ranges provided for US and Canadian candidates, but not for other locations
- Role focuses on strategic decision-making rather than production ML, which may limit certain technical growth opportunities
- AI tool usage is integral to the role, requiring comfort and proficiency with AI technologies
Summarised from Life360's posting. Read the full original.
Listed by Life360 on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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