Applied Scientist- Pricing
Opendoor
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How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $141,750–$225,500.
Based on 240 similar postings.
Employer
Opendoor is a digital real estate marketplace that buys and sells homes directly to consumers, simplifying the home selling and buying experience through instant offers and transparent pricing. Industry: Real Estate Technology & iBuying
Opendoor currently has 42 open roles on FindRole.
Listed pay typically runs $156,800–$335,000 across 8 roles with salary data.
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At a glance
As an Applied Scientist at Opendoor in Toronto, you will join a small, agile team focused on solving complex quantitative problems related to structural modeling, econometrics, and optimization. Your daily tasks will involve building models that enhance pricing strategies, manage portfolio risk, and optimize demand forecasting using both pre-listing and post-listing data signals. You will also develop robust optimization frameworks and design experiments to measure customer response and price elasticity. Ideal candidates possess strong Python coding skills, experience with causal inference or Bayesian modeling, and the ability to translate ambiguous business challenges into rigorous statistical models. Familiarity with distributed data processing tools like PySpark and machine learning methods is a plus. This role demands an advanced degree in a quantitative field and offers opportunities to shape both the modeling direction and its practical application within Opendoor’s valuation ecosystem.
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