below marketmost similar roles pay hereabove market
This role pays more than
87%
of similar roles. Most pay
$153,462–$214,500
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$184k
for comparable roles.
Based on 240 similar postings.
Employer
About Zillow
Zillow Group is a leading real estate and rental marketplace providing consumers with data, tools, and services to find, buy, sell, rent, and finance homes, and connecting buyers with agents and lenders. Industry: Real Estate Technology & Marketplace
Zillow currently has
49 open roles
on FindRole.
Listed pay typically runs
$164,400–$262,600
across 40 roles with salary data.
The Principal Data Scientist - Rentals Shopping will serve as the data science lead for the Rentals Shopping pillar, a team focused on improving how renters discover and secure homes through the marketplace. You will drive the long-term data strategy by identifying high-impact growth opportunities, shaping the product roadmap, and elevating statistical rigor in modeling and experimentation. Day-to-day responsibilities include leading analytical work on rental search relevance, ranking, personalization, and marketplace efficiency while mentoring other data scientists. You will utilize SQL, Python, and big data environments like Databricks or Snowflake to apply causal inference and time series modeling. Additionally, you will implement modern AI, including LLMs and agentic workflows, to scale intelligent user-facing solutions and improve model quality across the rental shopping funnel.
What does a Data Scientist earn in Remote?
Median $216300 from 36 postings across 16 companies.
Drive the long-term data strategy for the Rentals Shopping pillar to identify high-impact growth opportunities.
Lead analytical and modeling work for rental search relevance, ranking, personalization, and marketplace efficiency.
Design and guide robust A/B tests and experimentation frameworks to measure the impact of new features.
Apply modern AI, including LLMs and agentic workflows, to improve model quality and scale intelligent solutions.
Translate complex analysis into clear, actionable product and business strategies for cross-functional leadership.
Coach and mentor data scientists by providing technical leadership and unblocking complex modeling challenges.
Ensure data science is a core driver of the cross-functional product roadmap through deep consumer behavior analysis.
What we're looking for
Ph.D. or Master’s degree in a quantitative field such as Statistics, Economics, or Computer Science, or equivalent practical experience.
Substantial experience, typically 8+ years, in quantitative analysis, advanced modeling, and experimentation at scale in consumer-facing technology environments.
Expertise in SQL and Python.
Experience applying statistical modeling, such as causal inference and time series, in big data environments like Databricks or Snowflake.
Proven track record of shaping long-term product roadmaps and driving business outcomes through data-driven insights.
Ability to influence senior cross-functional leaders and translate complex analysis into clear, executive-ready recommendations.
Experience applying modern AI, including LLMs and agentic workflows, to improve model quality and scale solutions.
Ability to coach and mentor data scientists and provide technical leadership.
Machine Learning
Generative AI
Feature Engineering
Model Serving
A/B Testing
Statistical Modeling
Model Monitoring
Responsible AI
Data Exploration
Productionization
Scalable Pipelines
Python
SQL
Machine Learning
Natural Language Processing
ETL
ELT
Data Modeling
Oracle Analytics Cloud
Tableau
Power BI
Oracle Fusion Cloud Applications
Predictive Analytics
Cloud Computing
Distributed Systems
Data Pipelines