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Data Scientist

Posted

Zillow
Headquarters: Seattle, WA
https://zillow.wd5.myworkdayjobs.com/en-US/Zillow_Group_External
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About the role

Zillow is looking for an Applied Scientist to join a growing world-class data science and engineering group. You'll be focused on one of several initiatives, including personalization and recommendation, home price estimation and forecasting, advertising, new ventures, big data platforms, and agent-related analytics, to help make Zillow the largest, most-trusted, and vibrant home-related market in the world. You will:

Collaborate with other Applied Data Scientists and Machine Learning Engineers to conduct cutting-edge applied research contributing to products

Find insights in a diverse set of data and leverage those signals in new machine learning and statistical models using state-of-the-art techniques and tools
Work closely with machine learning engineers to productionize and ship those models
Help build a better real estate experience for consumers, and a deeper understanding of our business and customers

About the team

Our data science and engineering teams build predictive models and big data systems for Zestimates, our personalization engines, computer vision, targeted advertising, and many other cutting edge analytic products that power Zillow’s industry leading online marketplace. We are always looking for the best model for the job, whether it is a random forest, deep neural nets, matrix factorization, or GLM. If we cannot find one, we will invent it. Our stack includes (but is not limited to) Spark and Hadoop. Languages in common use are Python, R, and Scala. 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. Learn more at https://www.zillow.com/data-science and https://www.zillow.com/engineering

Who you are

Strong foundation in statistical inference and machine learning Expert in algorithms for supervised or unsupervised learning A completed Masters degree with at least 2+ years of industry experience OR recent PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, Econometrics, or related scientific discipline involving mathematical modelling industry experience with machine learning applied to big data preferred Able to conduct research and assimilate state-of-the-art methods from research papers Looking to work on a team to solve challenging problems Regularly working in at least one of Python, R, or Scala