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Data Scientist / Analytics Consultant

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ORIL

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Location:
Ukraine , Lviv

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking a highly specialized Data Scientist / Analytics Consultant to support a project focused on revamping real estate data stack and pricing accuracy. About Project: Our client specializes in delivering real-time Investor Pricing Ranges to agents and investors using a combination of AVMs, third-party data providers, and internal logic. As the platform scales, ensuring data quality, consistency, and pricing accuracy is critical to marketplace trust, conversion, and transaction volume.

Job Responsibility:

  • 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

Requirements:

  • 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)

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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