Senior Data Scientist, StreetEasy

Zillow

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $148,600–$237,400 / yr
Posted: 47 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k

This role $193k

$96k most similar roles pay here $253k

This role pays more than 72% of similar roles. Most pay $126,800–$198,312 — the shaded band above. At the midpoint, this role pays about $193k versus about $163k 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 32 open roles on FindRole.

Listed pay typically runs $160,900–$257,100 across 32 roles with salary data.

Most-posted roles

View all roles at Zillow

At a glance

TL;DR · Senior Data Scientist, StreetEasy

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As a Senior Data Scientist at StreetEasy, you will join a dynamic team focused on enhancing the real estate market experience through data-driven strategies. Your role involves leading A/B testing initiatives, optimizing marketing lifecycle processes, and developing analytical frameworks that drive high-quality traffic to StreetEasy’s platforms. You will work closely with engineering teams to enhance data quality and build transformation pipelines using tools like dbt, while also creating dashboards in Tableau and Databricks for performance insights. This position requires strong proficiency in SQL and Python, experience with marketing mix modeling, and the ability to mentor junior team members, making it ideal for someone who excels at translating complex analytics into actionable business decisions.

Skills

Python SQL Tableau Databricks dbt A/B testing Marketing mix modeling Machine learning CI/CD Data analysis Statistical analysis Dashboard creation Cross-functional collaboration

What you'll do

Lead A/B test design, analysis, and interpretation for the marketing team.
Drive measurement approaches like marketing mix modeling to enhance effectiveness.
Translate analytical findings into clear recommendations for diverse partners.
Identify complex business problems and deliver scalable data-informed solutions.
Build reusable analytical frameworks including simulations and causal inference.

What we're looking for

5+ years of professional experience using data to solve complex business problems.
Strong proficiency in SQL and Python with experience in Tableau and Databricks.
Experience designing, running, and interpreting experiments with statistical analysis.
Ability to connect business goals to practical, data-driven recommendations.
Excellent communication skills for cross-functional collaboration.
Broad data science experience from exploratory analysis to advanced modeling.
Bachelor’s degree in a quantitative field or equivalent practical experience.

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