About the roles
Zillow is looking for exceptional Senior Data Scientist to join a growing team with a broad mission - build data science and machine learning products that will power the next stage of Zillow’s growth. In particular Zillow is launching a new venture with a focus on leveraging our unparalleled data and view into housing markets to help build a world-class platform for real estate marketplace optimization. You will work with a team of data scientists and machine learning engineers to:
Formulate and solve optimization problems focused on decision-making under uncertainty through prescriptive analytics
Collaborate with other Data Scientists and Machine Learning Engineers to conduct applied research contributing to products
Work closely with Machine Learning Engineers to productionalize 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
You will join a new team at Zillow tackling the analytic 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 Zillow’s 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.
Who you are
5-7 years of Industry experience in a highly analytical role with a focus on operations, logistics, marketplace optimization, supply chain management, inventory optimization or similar
A graduate degree (MS or PhD) in Operations Research, Computer Science, Statistics, Mathematics, Economics, Quantitative Finance, or a related discipline.
Expertise with working with languages like Python, R, or julia
Technical knowledge in theory of optimization and linear/mixed-integer programming
Experience with (constrained) optimization software and/or solvers such as (Gurobi, Cplex, etc)
Experience working with mathematical modelling packages (JuMP, PuLP, etc)
Experience programming on large scale distributed systems such as Spark or Hadoop a plus.