Applied Scientist
Core
Own scoped work to improve the reliability, quality, and maintainability of Zillow's published housing metrics and data pipelines.
Role type
Senior Applied Scientist (Data Engineering & Metrics)
Builds
Production housing metrics, data pipelines, and analytical methods for market reporting and forecasting.
Domain
Real Estate / Housing Market Analytics
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
SQL, Python, PySpark/Spark, Databricks, data quality investigation, metric logic debugging, version control, testing frameworks
Preferred skills
automated data quality checks, managing noisy operational data, validating backfills, end-to-end metric design, pipeline migration partnership
Technologies
SQL, Python, PySpark, Spark, Databricks
Responsibilities
Monitor and validate housing metric outputs; investigate metric anomalies and data outages; design data quality checks and monitoring patterns; partner with engineers on pipeline migrations; evaluate impact of upstream schema/logic changes; improve metric definitions and documentation.
Seniority
Senior, hands-on IC
