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Applied Scientist - Agent Analytics

Zillow

Applied Scientist - Agent Analytics

Seattle, WA
Full Time
Paid
  • Responsibilities

    Applied Scientist - Agent Analytics Seattle/en-US/Zillow_Group_External/job/Seattle/Applied-Scientist---AdTech_P13774/apply About the team You will join a team at Zillow taking on the artificial intelligence and big data problems around creating a dramatically better real estate experience for everyone from sellers to investors, looking beyond our current product offerings to push the boundaries of what is possible. We are always looking for the best model for the job, whether it is a random forest, deep neural nets, matrix factorization, or GLM and if we cannot find one, we will invent it. At the center of Zillows effort to create the future of real estate, this team will be responsible for creating on 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 About the role Zillow is looking for an Applied Scientist to join a growing team focused on leveraging AI and Machine Learning in the real estate marketplace. You'll be leading our efforts in researching and implementing new machine learning and statistical models that impact targeted advertising for products like Zillow Premier Agent. This is part of our effort to help make Zillow the largest, most-trusted, and vibrant home-related market in the world. This is a key initiative at Zillow as we aim to define the future of real estate. You will work with a team of applied scientists and machine learning engineers to: * Improve ad delivery as we build the next generation of Zillow Premier Agent * Advance measurement of Zillow AdTech using marketing science methodologies * Create personalized recommendation models that affect all of our core product flows * Develop/extend machine-learning algorithms customized to our domain * Propose and build user segmentation models that give the company insight into our customers * Work closely with machine learning engineers to productionalize models Who you are * A Masters degree plus 3 years of experience or PhD plus 1 year of experience in a Computer Science, Statistics, Mathematics, Quantitative Research, or related discipline * 1+ year working in the AI, data science, or machine learning field. Recent, relevant internships during school are considered a part of this experience * Experience with Spark, Hadoop, AWS technologies or similar technologies is desirable * Familiar in machine-learning algorithms for supervised/unsupervised learning * Ability to go beyond using existing algorithms and packages * Knowledge of machine-learning/computational packages (numpy, scipy, pandas, scikit-learn) * Strong in foundations of data structures and algorithms * Expertise with the data analysis languages Python and/or R Get to know us Zillow is the leading real estate and rental marketplace dedicated to empowering consumers with data, inspiration and knowledge around the place they call home, and connecting them with the best local professionals who can help. Zillow is part of Zillow Group, whose mission is to build the largest, most trusted and vibrant home-related marketplace in the world. Zillow Group is owned, fueled and grown by innovators who help people make better, smarter decisions around all things home. We encourage one another at every level, and our efforts are supported by employee-driven, world-class benefits that enable us to enjoy our lives outside the office while building fulfilling careers that impact millions of individuals every day. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. Posted YesterdayFull timeP13774 Zillow Group houses a portfolio of the largest and most vibrant real estate and home-related brands on the web and mobile. Our mission is to build the largest, most trusted and vibrant home-related marketplace in the world. Zillow Groups portfolio includes: * Zillow®, the leading real estate and rental marketplace dedicated to empowering consumers with data, inspiration and knowledge around the place they call home, and connecting them with the best local professionals who can help. * Trulia®, a vibrant home shopping marketplace, focused on giving home buyers, sellers and renters the information they need to make better decisions about where to live. * StreetEasy®, New York Citys leading local real estate marketplace, providing accurate and comprehensive for-sale and for-rent listings from hundreds of real estate brokerages throughout New York City and the major NYC metropolitan area. * HotPads®, a map-based apartment and home rental search brand, and nbsp;a top destination for renters in urban areas across the United States. * Naked Apartments®, New York Citys largest rentals-only platform, provides innovative tools and quality listings so renters can simply and quickly find their apartment, and makes it easier for brokers and landlords to connect with renters to fill available apartments faster. * RealEstate.com, a home shopping brand, designed for first-time buyers and millennial home buyers. * In addition, Zillow Group houses the business brands Bridge Interactive, Dotloop® and Mortech®. Zillow Group is owned, fueled and grown by innovators who help people make better, smarter decisions around all things home. We encourage one another at every level, and our efforts are supported by employee-driven, world-class benefits that enable us to enjoy our lives outside the office while building fulfilling careers that impact millions of individuals every day.nbsp;

  • Industry
    Retail