Data Scientist / Analytics Consultant (Project-Based)

We are seeking a highly specialized Data Scientist / Analytics Consultant to support a project focused on revamping real estate data stack and pricing accuracy. The role involves conducting audits, validating performance, and collaborating with internal teams to enhance data reliability.

• Conduct a comprehensive audit of existing real estate data providers and infrastructure
• Benchmark and validate the performance of various AVMs and property data feeds
• Analyze current underwriting and valuation models, identifying gaps, biases, or inefficiencies in pricing logic
• Refine renovation assumptions and their impact on final pricing outputs
• Deliver a clear, actionable roadmap and hands-on adjustments to improve the reliability of Investor Pricing Range
• Collaborate closely with internal product and engineering teams to ensure swift implementation of your recommendations

• High proficiency in Python (Pandas, NumPy, Scikit-learn)
• Hands-on experience integrating and evaluating standard real estate APIs and data providers (e.g., MLS feeds, ATTOM, CoreLogic, HouseCanary, SmartZip, or similar)
• Experience working with spatial data and GIS tools (e.g., PostGIS, GeoPandas, H3)
• Deep understanding of real estate investment metrics, including ARV (After Repair Value), Cap Rates, Yield
• Proven track record of building, tuning, or auditing predictive pricing models (e.g., XGBoost, LightGBM, CatBoost, Random Forest, or other ensemble methods applied to real estate)
• Ability to build clear dashboards (Tableau, Looker, PowerBI, etc.)
• At least Upper-Intermediate English level (speaking & writing)