Senior Data Scientist

Zillow

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $148,600–$237,400 / yr
Employment: Full-time
Posted: 42 days ago
Freshness: Confirmed live yesterday
Closes: Oct 21, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $160k

This role $193k

$94k most similar roles pay here $253k

This role pays more than 76% of similar roles. Most pay $126,800–$192,500 — the shaded band above. At the midpoint, this role pays about $193k versus about $160k 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 30 open roles on FindRole.

Listed pay typically runs $160,900–$257,100 across 25 roles with salary data.

Most-posted roles

View all roles at Zillow

At a glance

TL;DR · Senior Data Scientist

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The Senior Data Scientist joins the Business Data team to serve as a core analytics lead for broker data products and measurement strategy. This role involves designing broker-level success metrics, developing causal inference frameworks like matching and difference-in-differences, and building scalable analytical pipelines to quantify the impact of go-to-market initiatives. The individual will independently manage end-to-end projects from problem framing through productionization while partnering with Product Managers to define measurement roadmaps. Key technical requirements include proficiency in SQL and Python, experience with large datasets on platforms like Spark or Databricks, and the ability to utilize AI-assisted analytics workflows. The role focuses on solving complex business problems regarding broker relationships and enterprise ROI within the real estate industry, transforming intricate data into actionable insights that drive product development and strategic investment for B2B partners.

What does a Data Scientist earn in Remote?

Median $206705 from 30 postings across 18 companies.

See salary data

Skills

Python SQL Spark Databricks Causal Inference A/B Testing Tableau Data Engineering Product Analytics Statistics AI Tools

What you'll do

Establish durable methodology and metric standards for broker data products and go-to-market strategies.
Design causal inference frameworks to quantify the impact of products, features, and initiatives at the enterprise level.
Deliver end-to-end data science projects from initial problem framing through productionization.
Partner with Product Managers to design and execute measurement roadmaps for product development.
Conduct analytical deep dives and opportunity sizing to inform product and go-to-market roadmaps.
Provide data-driven recommendations and communicate complex trade-offs to senior leadership.
Build reliable, scalable analytical pipelines and reusable data products to demonstrate value to partners.
Leverage AI-assisted workflows to scale impact while maintaining deterministic and verifiable logic.

What we're looking for

5+ years of experience in data science, product analytics, or a related quantitative field.
A Master's degree in statistics or a similar quantitative discipline is preferred.
Strong foundation in statistics, causal inference, and experimentation including A/B testing.
Proficiency in SQL and Python to develop complex query logic on large datasets in platforms like Spark or Databricks.
Experience with product analytics at a senior level, including measurement, experimentation, clickstream, and segment analysis.
Ability to build reliable, scalable analytical pipelines and scheduled data jobs (preferred).
Experience building end-to-end predictive ML models is a strong plus.
B2B product and business strategy experience are a plus; data visualization experience is preferred.