Senior Decision Scientist, Remote Impact & Causality

Life360; United States; À distance; USD 180 000 - 230 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision insurance 100%

401(k) with company match

Flexible PTO and holidays

Learning & development opportunities

Résumé du poste

Life360 is looking for a senior analytics professional to partner with product and engineering, guiding what to build and where to invest. You will establish causal relationships using A/B testing and advanced inference, turning insights into action that drives product and business outcomes.

With 5+ years in analytics at a consumer tech company and proficiency in SQL/Python/R, you will help build a robust metrics framework and foster a data-driven culture across a remote-first organization.

Qualifications

• 5+ years in analytics or decision science at a consumer tech company, with advanced quantitative degree or equivalent.
• Demonstrated experience with causal inference methods and experimentation platforms.
• Proficiency in SQL and Python/R, and an AI-native working style using tools like Claude Code.

Responsabilités

• Be the strategic thought partner for cross-functional teams, shaping what gets built and where we invest.
• Establish causality with the right tools, including A/B testing and causal inference, and turn insights into action.
• Build metrics strategies and explanations that tie user behavior to motivation.

Connaissances

SQL

Python

R

Claude Code

Formation

Advanced quantitative degree

Outils

Experimentation platforms

Causal inference tools

Description du poste

Life360 is looking for a senior analytics professional to partner with product and engineering, guiding what to build and where to invest. You will establish causal relationships using A/B testing and advanced inference, turning insights into action that drives product and business outcomes.

With 5+ years in analytics at a consumer tech company and proficiency in SQL/Python/R, you will help build a robust metrics framework and foster a data-driven culture across a remote-first organization.