Senior Staff Data Scientist
Core
Senior technical leader responsible for setting standards for experimentation methodology, causal inference, and analysis in a complex, networked environment to drive product strategy and learning.
Role type
Senior Staff Data Scientist (Experimentation & Causal Inference)
Builds
Self-serve experimentation tools, platforms, and best-practice documentation
Domain
Internet / Social Media / Consumer Data Science
Deliverable
production ML models
Required skills
Causal inference, Experimental design, Network interference analysis, Statistical computing, SQL, Python, R, Power analysis, Variance reduction techniques, Sequential testing, Multiple comparison corrections, Product strategy influence, Mentoring
Preferred skills
Bayesian experimental methods, Bandit algorithms, Adaptive experimental designs, Published research in interference/network experimentation
Technologies
SQL, R, Python
Responsibilities
Serve as technical authority on experimentation methodology and set standards for design and analysis. Tackle hard problems including spillover, network effects, interference, and two-sided experimentation. Develop methods for causal inference where standard randomization assumptions are violated. Design experimentation frameworks and guardrail metrics. Build and scale self-serve experimentation tools and platforms. Influence long-term product strategy through experimental insights. Mentor and elevate other data scientists on experimentation best practices.
Seniority
Senior Staff, hands-on IC with strategic influence
