Related skills
r sql python experimentation experimental_designπ Description
- Serve as the technical authority on experimentation methodology across Consumer
- Tackle hardest problems: spillover/network effects, interference
- Develop causal inference methods for non-ideal randomization designs
- Design frameworks and guardrail metrics for ecosystem-level effects
- Build and scale self-serve experimentation tools and docs
- Influence long-term product strategy with experimental results
π― Requirements
- Ph.D. in Statistics, Econometrics, Economics, CS, or related field; MS with depth
- MS holders: 12+ years in applied science/experimentation roles
- PhD holders: 8+ years in applied science/experimentation roles
- Deep expertise in causal inference incl. network interference
- Strong theory in experimental design: power, variance reduction
- Expert SQL; proficient in R and/or Python
π Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global benefits programs for lifestyle, workspace, development, caregiving
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!