Senior Data Scientist - Real Estate

Tasks

• Analyze MLS data for market trends
• Build and deploy predictive models for lead scoring and conversion likelihood
• Build dashboards and analytics in Hex and Metabase
• Design and analyze product experiments using A B testing
• Design retrieval and ranking systems for unstructured data
• Develop RAG and GraphRAG pipelines with knowledge graphs
• Ship model and LLM outputs to production environments
• Transform data using Databricks with SQL and PySpark
• Translate business questions into data driven recommendations
• Write SQL queries for ClickHouse and PostgreSQL

Perks/Benefits

• Autonomy
• Paid time off
• Remote work
• Work with top American companies
• Work-life balance

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 | StatsModels