Applied Scientist - Intern, Valuation

Key Skills

AI technology, NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, SciPy, TensorFlow

Job Description

The Valuation team is focused on all things related to real-estate valuation. The home valuation problem is an unsolved, complicated, impactful spatio-temporal modeling challenge. We strive to empower consumers to make their best housing-related decisions by using pioneering ML techniques to present accurate and explained estimates of home valuations and related metrics. If we cannot find an existing model to fit our needs, we will invent one. The work we do is at the core of Zillow’s mission to empower the consumer and provide them with the tools to make informed decisions.

The Valuation team is behind the Zestimate and Zillow Prize, our million dollar competition to crowd-source ideas that push automated home valuation models further. We recently released our latest model -- Neural Zestimate -- based on our findings from Zillow Prize, and we have many exciting avenues to explore in this direction. Learn more at www.zillow.com/ai-ml.

About the role

Zillow is looking for an Applied Scientist Intern to join the Valuation team. This opportunity involves working with the most sought-out content on the Zillow site including the Zestimate, Rent Zestimate, and related products. These products are essential to the company’s mission to create the largest, most-trusted, and vibrant home-related market in the world. Additionally, valuation-derived data and tools are foundational to new products and the company’s growth plans.

As an Applied Scientist Intern on the Valuation Team, you will have the opportunity to:

• Efficiently collect and wrangle data in complex formats from diverse sources to derive new insights around home valuation
• Develop and implement experiments with a focus on improving business-specific metrics
• Work closely with other applied scientists, engineers and product managers to implement end-to-end ML solutions.
• Communicate models, analyses and findings clearly to technical and non-technical audiences

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 Applied Mathematics, Statistics, Computer Science, Machine Learning, Data Science, Economics, Real Estate or a related field with an anticipated graduation date between December 2023 - July 2024
• Inclined to approach problems through a statistical perspective and with the ability to reason about uncertainty and data distributions. You let the problem define your choice of models, tools and approach to experimentation.
• Deep knowledge of at least one popular programming language (Python preferred) and suite of associated machine learning tools. e.g. Python and packages such as Numpy, Pandas, PyTorch, Scikit-learn, SciPy, and/or TensorFlow
• Passionate about learning new business domains, solving problems and presenting to and communicating with non-technical audiences
• Any experience with the above within a real estate context is a plus

Get to know us

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