Data Scientist, Trust & Safety - Rentals

Role: Data Scientist, Trust & Safety - Rentals (Specialist II)

You’ll design, develop, and deploy end-to-end analytical and machine learning solutions that address moderately complex business problems and customer use cases in Zillow’s Rentals trust and safety domain.

Responsibilities

• Lead the design, development, and deployment of end-to-end analytics and ML solutions (with guidance from your manager).
• Collaborate with product, engineering, and business stakeholders to turn ambiguous questions into testable hypotheses.
• Define success metrics and translate requirements into robust analytical and modeling approaches.
• Build, validate, and maintain scalable data pipelines, features, and models for production use—focusing on reliability, reproducibility, and performance.
• Analyze large, complex datasets to identify trends, drivers, and opportunities; communicate recommendations to technical and non-technical audiences.
• Apply experimentation and evaluation practices such as:
  • A/B testing
  • Backtesting
  • Error analysis
• Contribute to data quality, model governance, and responsible use of data/AI through shared standards, documentation, and best practices.

Requirements

• Bachelor’s degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, Engineering, or related).
• 5+ years of professional experience in data science, advanced analytics, or machine learning.
• Experience designing and implementing end-to-end analytical/ML solutions, including:
  • data preparation
  • feature engineering
  • model development and validation
  • operationalization
• Experience working with large datasets (additional details not included in the excerpt).

Remote policy

• The role is categorized as Remote; employees work from a physical location of their choice that must be identified to the company.
• U.S. employees may live in any of the 50 states (with limited exceptions).