Senior Data Scientist - Real Estate
Tasks
- Analyze MLS data for market trends
- Author performant SQL queries for ClickHouse and PostgreSQL
- Build dashboards and analyses in Hex and Metabase
- Build predictive models for lead scoring agent matching price and time on market estimation conversion likelihood
- Construct knowledge graphs for listings agents and clients
- Deploy model and LLM outputs to production environments
- Design and analyze product experiments for A B testing
- Design retrieval and ranking systems for unstructured data
- Develop RAG and GraphRAG pipelines
- Translate business questions into actionable data driven recommendations
- Write data transforms in Databricks using SQL and PySpark
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Classification | ClickHouse | Clustering | Databricks | Forecasting | GraphRAG | Information Retrieval | Knowledge graphs | LLM | Machine Learning | Pandas | PostgreSQL | PySpark | Python | RAG | Ranking | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical Analysis | StatsModels
Education
N/A
Roles
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