Data Scientist, Consumer Analytics

About the team

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The Data Science team at Zillow turns complex data into insights, models, and products that help power smarter decisions across the business. As part of our broader Data Analytics and Insights organization, this team partners closely with product, engineering, and business leaders to solve meaningful problems, improve the quality and usability of our data, and build scalable solutions that create impact for customers and employees alike. We’re a collaborative, curious group that values thoughtful experimentation, continuous learning, and using data responsibly to move Zillow forward. About the role ------------------

The Specialist II, Data Science applies advanced analytical methods and machine learning techniques to solve moderately complex business problems, deliver scalable data products, and generate insights that inform decision-making across Zillow. This role collaborates with cross-functional partners to translate ambiguous questions into structured analyses, build and maintain production-quality models, and continuously improve the quality, usability, and impact of Zillow’s data assets.

You will get to

• With guidance from your manager, lead the design, development, and deployment of end-to-end analytical and machine learning solutions that address moderately complex business problems and customer use cases.
• Partner with product, engineering, and business stakeholders to frame ambiguous questions into testable hypotheses, define success metrics, and translate requirements into robust analytical or modeling approaches.
• Build, validate, and maintain scalable data pipelines, features, and models using modern data and ML tooling, ensuring reliability, reproducibility, and performance in production environments.
• Analyze large, complex datasets to uncover trends, drivers, and opportunities, and clearly communicate findings and recommendations to technical and non-technical audiences.
• Apply sou