Transform the homebuilding industry with data-driven insights at OpenHouse.ai as a Quantitative Research Scientist. Leverage your expertise in causal inference and optimization to address complex real-world challenges. This role requires a strong quantitative background, engaging in numerous aspects like forecasting, decision science, and market dynamics.

You'll develop models that enhance builder decision-making regarding pricing and inventory while tackling ambiguity in housing markets. Your work will drive impactful outcomes as you explore innovative methods and apply modern AI tools. Key Responsibilities:

- Frame ambiguous business systems into quantitative problems
- Choose appropriate modeling techniques based on problem complexity




- Design evaluations to validate models with empirical data
- Extract insights from sparse and heterogeneous datasets
- Collaborate with engineers to implement research findings Requirements:
- Demonstrated experience in quantitative problem-solving
- Strong foundations in statistics and mathematical modeling
- Proficiency in programming for model implementation
- Capacity for critical reasoning in ambiguous situations
- Intellectual curiosity and adaptability to current ideas Drive quantifiable change in homebuilding research with your analytical skills at OpenHouse.ai.

📌 Quantitative Researcher at OpenHouse.ai (Calgary)
🏢 OpenHouse.ai
📍 Calgary