Senior Applied Economist, Causal Inference & Forecasting

Tech Stack

Responsibilities

• Uplevel existing forecasting pipelines (currently built on Prophet) by integrating econometric rigor to improve accuracy and provide probabilistic forecasting for risk management.
• Design and execute experimental and quasi-experimental frameworks to identify business levers, answering critical questions regarding price elasticity, product feature attribution, and ROI of sales incentives.
• Partner with Sales and Account Management to create data-driven frameworks for pricing and customer retention, translating complex causal models into actionable blueprints for go-to-market teams.
• Work hands-on within ML infrastructure, writing production-quality Python code to deploy models into AWS and Snowflake-based ecosystem for automation and scalability.
• Act as the subject matter expert on economic literature and methodology, translating technical findings into strategic recommendations for executive leadership.

Benefits

• Learning Budget

Culture

Requirements