Senior Data Scientist - Real Estate
Tasks
- Analyze A/B test results
- Analyze MLS data for market trends
- Analyze product experiments
- Build dashboards
- Build predictive models for agent matching
- Build predictive models for conversion likelihood
- Build predictive models for lead scoring
- Build predictive models for price estimation
- Build predictive models for time on market estimation
- Construct knowledge graphs
- Deploy LLM outputs to production
- Deploy model outputs to production
- Design A/B tests
- Design retrieval and ranking systems
- Develop GraphRAG pipelines
- Develop RAG pipelines
- Perform data transformations in Databricks
- Write SQL queries
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Classification | ClickHouse | Clustering | Databricks | Forecasting | GraphRAG | Hex | Inngest | Knowledge graphs | Machine Learning | Metabase | Pandas | PostHog | PostgreSQL | PySpark | Python | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical Analysis | StatsModels
Education
N/A
Roles
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