Senior Staff Data Scientist - Consumer Experimentation

• Serve as the authority on experimentation methodology across the Consumer team
• Tackle complex experimentation problems, including spillover effects and network interference
• Develop causal inference methods where standard assumptions are violated
• Design frameworks that account for ecosystem-level effects in experimentation
• Identify opportunities for improved methodologies to unlock insights
• Build and scale self-serve experimentation tools to enhance efficiency
• Influence product strategy through rigorous experimental analysis and recommendations

• Ph.D. in Statistics, Econometrics, Economics, Computer Science, or related field with focus on causal inference; or M.S. with equivalent expertise
• 12+ years of industry experience for M.S. holders in applied science or experimentation
• 8+ years of industry experience for Ph.D. holders in applied science or experimentation
• Deep expertise in causal inference and complex experimentation challenges
• Strong theoretical background in experimental design
• Experience with large-scale experimentation platforms
• Proficiency in SQL and either R or Python for statistical analysis

• Global benefit programs tailored to diverse lifestyles
• Family planning support
• Gender-affirming care options
• Mental health and coaching benefits
• Comprehensive medical coverage and healthcare spending account
• Registered retirement savings plan with matching contributions
• Income replacement programs
• Flexible vacation and paid volunteer time off
• Generous paid parental leave

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.