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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
Job Description
You will be:
- designing and developing statistical models for property price adjustments across time, location, quality, and condition,
- building spatial algorithms (adaptive heatmaps, geographic clustering, polygon-based property search) to capture local market dynamics,
- implementing comparable property recommendation with feature engineering across different property types,
- developing market analysis pipelines with solid diagnostics: trend fitting, outlier detection, goodness‑of‑fit metrics,
- integrating LLM‑based classification services for document and property analysis,
- exposing model outputs through production API endpoints and working with frontend engineers on data contracts,
- debugging models in production: edge cases, numerical issues, data quality problems.
Your profile:
- solid statistics background: regression, GAMs, mixed/random effects, link functions, robus...