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 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 new ideas

Drive quantifiable change in homebuilding research with your analytical skills at OpenHouse.ai.
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📌 Quantitative Researcher at OpenHouse.ai (Alberta)
🏢 OpenHouse.ai
📍 Alberta