Applied Scientist - Intern, Causal Econ

Join our Causal Economics team bringing innovative analysis, creativity and excellence to solve the biggest questions Zillow Group faces. We apply innovative methods in causal inference to help guide business decisions across the entire company. Our work uses Zillow’s unparalleled living database of all homes and hundreds of millions of customers to provide insight to guide Zillow into the future. You’ll work in an informal, fun, collaborative atmosphere with a dynamic team with a diverse range of interests and skills.

Zillow, the top real estate website in the U.S., is building an on-demand real estate experience. Whether selling, buying, renting or financing, customers can turn to Zillow to find and get into their next home with speed, certainty and ease.

About the role

Zillow’s Causal Economics team is looking for an experienced and forward-thinking Applied Scientist Intern who has a passion for applying creative solutions to business problems by systematically employing economic and mathematical frameworks and models. We are always looking for ways to better measure our business. 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, which are central to our mission to empower the consumer and transform the real estate industry by building a true marketplace.

You Will Get To:
• Build interpretable models to measure the impact of real estate market developments on Zillow’s business and financial performance
• Help use our suite of world-class housing market metrics to benchmark Zillow’s performance to the market environment
• Build novel analytical frameworks and models from the ground up
• Apply economic analysis to a host of key business problems
• Communicate results and insights to key partners in business, marketing, finance, and analytics
• Work closely with applied scientists and engineers to solve business problems

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.

In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.

Who you are
• In the process of completing a Master’s or PhD in Economics, Statistics, Finance, or a related quantitative field with a graduation date between December 2023 and July 2024.
• Proficiency with either Python or R and ability to manipulate, model, and visualize data in those languages.
• Familiarity with SQL
• Desire to succeed in a self-starting environment where you can innovate with a high degree of freedom and make a large business impact
• Experience in or knowledge of applied causal inference and mathematical/econometric models
• Passion for building interpretable models for impact analysis, performance attribution, segmentation, or pricing
• Strong written, verbal, and visual communication skills with the ability to communicate and present complex results to both technical and non-technical audiences
• Experiencing or ability to work cross-functionally between business, tech, and science teams a plus

Transferable Skills
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.

Get to know us

Zillow is reimagining real estate to make it easier to unlock life’s next chapter.

Apply Job!