Senior Applied Economist, Causal Inference & Forecasting

Tech Stack

Responsibilities

• Uplevel existing forecasting pipelines by integrating econometric rigor to improve accuracy and provide probabilistic forecasts for risk management.
• Design and execute experimental and quasi-experimental frameworks for causal inference to identify business levers like price elasticity and ROI of sales incentives.
• Partner with Sales and Account Management to create data-driven frameworks for pricing and customer retention, translating causal models into actionable blueprints.
• Work hands-on within ML infrastructure, writing production-quality Python code to deploy scalable models in AWS and Snowflake.
• 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