Staff Applied Scientist (Causal Inference)

Overview

Role involves building models to drive business value through causal inference.

Ideal candidate has 8+ years of experience with strong skills in data analysis and causal insights.

Locations

• United States

Requirements

• PhD or Master's in quantitative field
• 8+ years of industry experience
• Strong proficiency in SQL, Python, R
• Deep expertise in quasi-experimental methods

Responsibilities

• Develop and deploy causal inference models
• Establish measurement standards
• Provide technical mentorship
• Act as thought partner for leadership