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 creative methods and apply contemporary 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 (Canada)
🏢 OpenHouse.ai
📍 Canada