Position Details
About this role
This role involves leading the development of causal inference and experimentation standards across Headway, focusing on high-stakes, noisy data to inform business decisions.
Key Responsibilities
- Define causal inference standards
- Build confidence frameworks
- Operationalize learning strategies
- Guide experimentation practices
- Collaborate across teams
Technical Overview
The technical scope includes Bayesian methods, experimental design, statistical analysis, and data analysis using tools like Python, R, and SQL.
Ideal Candidate
The ideal candidate is a senior data scientist with expertise in Bayesian experimentation, causal inference, and experimental design. They should have strong analytical skills and experience with statistical tools and programming languages like Python or R.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Bayesian methods, No background in causal inference or experimental design, Inability to communicate complex findings, No experience with statistical software
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