Job Description

About the role

Join our industry-leading Economic Research team bringing innovative analysis, creativity and excellence to the U.S. housing market. We create, productionalize, analyze, and share a full suite of housing data products and analysis for audiences inside and outside of Zillow. Our work contextualizes Zillow’s unparalleled living database of all homes and hundreds of millions of customers to provide insight to everyday consumers and open data to hundreds of researchers and policymakers across the country. You’ll work in an informal, fun, collaborative atmosphere with a dynamic team with a diverse range of interests and skills.

Zillow Group’s Economic Research team is looking for a forward thinking and curious Applied Scientist intern who has a passion for applying creative data science solutions to business problems and tackle them systematically with mathematical models.At the center of Zillow’s effort to build the future of real estate, this team will be responsible for creating innovative solutions to challenging problems, many entirely new for the company but all central to our mission to empower the consumer and transform the real estate industry by building a true marketplace.

You will have the opportunity to:

Collaborate with other Applied Scientists to develop and refine models that track and forecast the housing market at a variety of regional levels, using data from our living database of 100M+ homes, transactions, and users (think nowcasting, hierarchical modeling, clustering etc.)

Create diagnostic, quality, and suppression metrics using heuristics to more advanced models to ensure data quality at scale (over millions of models for different geographies/home type cuts)

Work on a data product important for both internal and external customers

Work on visualizing and interpreting data on a large scale

Work closely with our engineering team to productionalize models

In Colorado, the standard pay range for this role is $60,000.00 – $145,000.00 Annually. This range is specific to Colorado and may not be applicable to other locations.

Who you are

Interested in working on innovative solutions to problems in the private real estate space.

In the process of completing a Master’s or PhD in Mathematics, Statistics, Economics, Econometrics, Physics, Earth Sciences, or related scientific field involving mathematical modeling (preferred) with a graduation date between Dec 2022 and Summer 2023.

Proficiency in statistics and machine learning models

Experience in or interest in learning distributed computing frameworks (Spark, Hadoop,, etc.)

Proficiency in scientific programming, including data manipulation, modeling, and visualization, Python and SQL strongly preferred

Ability to conduct independent research and apply research methods to real-world problems

Ability to clearly communicate and present results to both technical and non technical audiences

Background in spatial statistics a plus