As a Quantitative Research Scientist at OpenHouse.ai, you will leverage quantitative methods to transform the homebuilding landscape. Your focus on causal inference and market analysis will lead to better decision-making for builders. This pivotal role requires robust quantitative abilities to turn messy data into actionable insights.

You will explore advanced statistical methods, forecasting, and optimization to address real-world challenges surrounding housing markets. Collaborating with cross-functional teams, you'll have a direct impact on operational strategies and market dynamics. Key Responsibilities:

- Frame complex quantitative research questions from business scenarios
- Design and implement models based on causal and statistical methods




- Validate models through rigorous testing and empirical analyses
- Work with diverse datasets to extract actionable insights
- Partner with engineers for practical application of findings Requirements:
- Experience in quantitative analysis or related fields
- Strong command of mathematical modeling and statistics
- Programming proficiency for implementing models
- Ability to critically evaluate and adapt methodologies
- Eagerness to learn and explore new concepts Join OpenHouse.ai in redefining homebuilding through innovative quantitative research.

📌 Quantitative Research Scientist Opportunity (Calgary)
🏢 OpenHouse.ai
📍 Calgary