Staff Decision Scientist

About the role

Life360 is seeking a Staff Decision Scientist to act as a key strategic advisor within product, engineering, marketing, and finance departments. This role focuses on driving critical business decisions through data-driven insights, rather than solely producing reports. You will play a vital part in shaping the company's AI-native future by influencing tools and processes.

Key facts

What you'll do

• Serve as the primary analytical strategist for your assigned business unit, collaborating with product managers, engineers, marketers, and finance professionals.
• Develop compelling narratives and present findings to leadership and teams to influence product roadmaps and resource allocation.
• Employ statistical inference, A/B testing, and causal modeling to establish cause-and-effect relationships.
• Design and implement measurement frameworks that accurately reflect user behavior and product engagement.
• Provide context and interpretation for data, understanding the human motivations behind user actions.
• Contribute to the development of AI-native analytics workflows, evaluating and adopting new tools and practices.
• Guide and mentor other individual contributors in advanced analytical techniques and AI-assisted workflows.

Requirements

• A minimum of 8 years of experience in analytics, data science, or decision science within a consumer technology company.
• An advanced degree in a quantitative discipline such as economics, statistics, quantitative social science, or operations research, or equivalent practical experience.
• Proven experience applying causal inference methodologies in real-world scenarios, including techniques like difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, or propensity score matching.
• A demonstrated history of influencing business or product strategy with data, including specific examples of cross-functional impact.
• Experience with experimentation platforms such as Statsig or Optimizely.
• Proficiency in SQL and Python or R for statistical analysis.
• A problem-solving approach that prioritizes understanding and structuring complex issues before applying tools.
• A strong sense of ownership, taking responsibility from problem framing to recommendation implementation and impact tracking.
• An AI-native working style, utilizing AI tools as a collaborative partner for tasks and critical review.
• Demonstrated curiosity and initiative in exploring data to uncover insights proactively.
• Ability to influence strategy at a business unit level through clear framing and compelling evidence.

Nice to have

• Experience with subscription or freemium business models.
• Familiarity with analyzing international markets.
• Experience contributing to analytics engineering workflows or building dbt models.
• Background in growth, retention, or lifecycle analytics.
• Experience with LTV modeling, incrementality testing, or marketing mix modeling.

Skills & tools

• SQL
• Python or R
• Causal Inference Methods (Difference-in-Differences, Instrumental Variables, Regression Discontinuity, Synthetic Controls, Propensity Score Matching)
• A/B Testing
• Experimentation Platforms (Statsig, Optimizely)
• AI Tooling (e.g., Claude Code)

Practical notes

• Salary range for US-based candidates: $148,000 to $218,500 USD.
• Salary range for Canada-based candidates: 164,000 to 193,500 CAD.
• Compensation includes base pay, equity, and a comprehensive benefits package.
• Benefits include medical, dental, vision, life, and disability insurance, 401(k) with company match (US) or RRSP with DPSP (Canada), Employee Assistance Program, flexible PTO, company holidays, and professional development opportunities.
• Equipment and reimbursement support for remote work.
• Free Life360 Platinum Membership and free Tile Products.
• Visa sponsorship is not available for this role.
• Application deadline is not specified.