Principal Economist, GTM Science

📋 Description

• Own Go-To-Market causal measurement strategy and roadmap.
• Design and deploy advanced causal models (R/Python).
• Quantify incremental impact of headcount, incentives, programs.
• Operationalize production-grade data pipelines with data eng teams.
• Collaborate with executive GTM Finance, Data Science, and Sales leadership.

🎯 Requirements

• PhD in Economics, Econometrics, or quantitative field.
• Advanced econometric and causal inference expertise.
• Fluency in R or Python; production-ready code.
• Data engineering and production deployment experience.
• Executive-level communication and stakeholder influence.
• Location: in-office Chicago, IL.

🎁 Benefits

• Culture of innovation and trailblazing mindset.
• Growth opportunities and recognition as a top tech workplace.
• Collaborative, ego-free team culture.
• Flexible time off, wellness resources, and team events.