Senior Data Scientist

🕒 April 28

🏄 California, Connecticut, +5 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $148.6k - $237.4k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Zillow

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

📋 Description

• Lead end-to-end experimentation for the marketing team, including A/B test design, analysis, and interpretation of results. • Drive measurement approaches that improve marketing effectiveness, including marketing mix modeling and related performance analyses. • Translate customer insights, metrics, and analytical findings into clear recommendations for technical and non-technical partners. • Identify complex business problems, frame them clearly, and partner across teams to deliver scalable, data-informed solutions. • Build reusable analytical frameworks, including simulations and causal inference approaches, to support broader team decision-making. • Create dashboards and reporting in tools such as Tableau and Databricks to improve visibility into performance and opportunities. • Partner with engineering to improve data quality, strengthen data collection, and build transformation pipelines using tools such as dbt. • Mentor junior team members and champion data-informed decision-making across the organization.

🎯 Requirements

• Bachelor’s degree in Computer Science, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field, or equivalent practical experience. • 5+ years of experience using data to solve complex business problems in a professional environment. • Strong proficiency in SQL and Python, or comparable programming experience, with experience using tools such as Tableau and Databricks. • Experience designing, running, and interpreting experiments, with a strong foundation in statistical analysis and testing methodologies. • Strong business acumen and product sense, • Excellent communication skills and experience working cross-functionally with partners across engineering, product, and marketing. • Broad data science experience spanning exploratory analysis through advanced modeling; experience with machine learning, dbt, marketing attribution, MMM, or AI tools is a plus.

🏖️ Benefits

• Competitive base salary • Equity awards based on experience, performance, and location