Staff Decision Scientist, Advanced Analytics

The role

You will lead advanced analytics by establishing methods, models, and standards for the data team. You will own the MAU forecast and growth model and push the causal inference toolkit forward.

What you will do

• Own the MAU forecast and growth model.
• Raise the bar on experimentation and set standards for design and analysis.
• Push the causal inference toolkit forward using quasi-experimental methods.
• Set the methodological standard for the data team.
• Collaborate across disciplines with Decision Scientists, Data Scientists, and Engineers.
• Scale advanced analytics through AI and agent workflows.
• Teach and mentor the organization through code reviews and internal talks.
• Translate forecasts and causal findings into recommendations for leadership.

Required qualifications

• 8+ years in an analytics, data science, or decision science role at a consumer tech company.
• Advanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experience.
• Deep, applied experience with causal inference methods.
• Experience building and owning a forecast or growth model for a core business metric.
• Expertise in experiment design and analysis at scale.
• Experience with experimentation platforms (Statsig, Optimizely, or similar).
• Track record of setting analytical standards and mentoring other data scientists.
• Proficiency in SQL and Python/R for statistical analysis.

Nice to have

• Experience with subscription or freemium business models.
• Background in growth, retention, or lifecycle analytics.
• Experience with Bayesian methods or probabilistic programming (e.g., PyMC, Stan).
• Experience with LTV modeling, incrementality testing, or marketing mix modeling.
• Experience building internal tooling or AI agent workflows for analytics teams.
• Experience building dbt models or contributing to analytics engineering workflows.
• Familiarity with international / multi-market analytics.

Benefits

• Medical, dental, vision, life and disability insurance plans.
• 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, and summer and winter shutdowns.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a remote environment.
• Free Life360 Platinum Membership and Tile trackers.

Before you apply

• AI tool usage during interviews varies by role.
• You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance.
• Undisclosed use of AI not previously discussed or approved by your Recruiter may impact your candidacy.

About the company

Life360 is a Remote First company with more than 500 remote-first employees. Its mission is to keep people close to the ones they love through mobile apps, Tile tracking devices, and Pet GPS trackers.