Staff Decision Scientist, Advanced Analytics

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Take ownership of the MAU forecast and growth model utilizing Python and SQL.

• Establish standards for the design and analysis of experiments, covering aspects like power, metric selection, variance reduction, sequential testing, heterogeneous effects, and interference.

• Implement quasi-experimental causal inference techniques and create reusable analytical methodologies.

• Define and document best practices while reviewing analyses across various operating groups.

• Work collaboratively with Decision Scientists, Data Scientists, Analytics Engineers, and Data Engineers.

• Develop workflows, templates, and tools for AI agents to enhance advanced analytics scalability.

• Provide mentorship through analysis and code reviews, internal presentations, and written documentation.

• Convert forecasts and causal insights into clear recommendations for senior leadership.

⛳️ Requirements

• A minimum of 8 years of experience in analytics, data science, or decision science within a consumer technology organization.

• An advanced degree in a quantitative discipline or comparable practical experience.

• In-depth, hands-on experience with causal inference methods.

• Proven experience in constructing and managing a forecast or growth model for a key business metric.

• Expertise in experiment design and analysis at scale, including variance reduction, sequential testing, and network effects or interference.

• Familiarity with experimentation platforms like Statsig or Optimizely.

• A history of establishing analytical standards and mentoring fellow data scientists.

• Strong proficiency in SQL and Python/R for conducting statistical analyses.

• Demonstrated methodological rigor and sound judgment.

• Experience with AI tools, such as Claude Code or similar technologies.

• Capability to influence the adoption of standards and methodologies across teams.

• Experience with subscription or freemium business models, growth and retention strategies, lifecycle analytics, Bayesian methods, LTV modeling, internal tooling, dbt, or international analytics is preferred.

🏝️ Benefits

• Total compensation package includes Restricted Stock Units (RSUs).

• Comprehensive medical, dental, vision, life, and disability insurance plans fully covered for US employees.

• 401(k) plan featuring a company matching program available in the US.

• Paid parental leave offered.

• Access to a Mental Wellness Program & Employee Assistance Program (EAP).

• Flexible Paid Time Off (PTO), companywide holidays, and shutdowns during summer and winter.

• Opportunities for Learning & Development programs.

• Provision of equipment, tools, and reimbursement support to ensure a productive remote work environment.

• Complimentary Life360 Platinum Membership and Tile trackers.