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 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 new ideas

Drive quantifiable change in homebuilding research with your analytical skills at OpenHouse.ai. #J-18808-Ljbffr

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