In summary, they are ideally looking for: experience with custom-built integrations, supporting end-users, communication with outside the U.S. operations – (Ukraine / Poland / Vietnam), and a desire to make recommendations while leading process improvement initiatives is a plus.
To work closely with executives, real estate professionals, product managers, and engineers to build and implement dynamic models, algorithms, and analysis to predict fair market rental and sale prices, forward appreciation curves, and risk-adjusted investment projections through the incorporation of geo-spatial, financial, real estate, census, and any other relevant data sources, analytics and models.
Take ownership of a discrete high-priority set of models and continuously iterate on improving speed, accuracy, and comprehensiveness.
Help build out the team through recruiting, high-bar interviewing, onboarding, and teaching.
Gain full understanding of real estate, housing, geographies, and market characteristics to improve your decision-making and implementations.