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Applied Scientist

Applied Scientist

New
Z
Zillow GroupHousing market analytics
U.S. employees may live in any of the 50 United States, with limited exceptions.Full-TimeMiddle
SalaryUSD 132400 - 222600 / year; In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $139,400.00 - $222,600.00 annually. In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $132,400.00 - $211,600.00 annually.
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Job Details

Experience
2+ years of proven experience working in time series/spatial forecasting space.
Required Skills
Machine LearningSpark

Requirements

  • Have 2+ years of experience in time series or spatial forecasting.
  • Hold a Master’s or PhD in Mathematics, Statistics, Economics, Econometrics, Physics, Earth Sciences, or a related scientific field.
  • Have a strong foundation in traditional econometric methods and modern machine learning techniques.
  • Be proficient in data cleaning, preprocessing, and feature engineering for time-series data.
  • Have experience with large-scale datasets and familiarity with distributed computing frameworks such as Spark.
  • Be able to design and implement model evaluation and validation strategies, including cross-validation and backtesting.
  • Have experience with metrics for time-series forecasting accuracy and performance assessment.
  • Be proficient in cloud-based platforms and tools for deploying and monitoring machine-learning models.
  • Be proficient in building AI agents to automate manual work.
  • Have a strong interest in the housing market and the economic factors that influence it.

Responsibilities

  • Collaborate with applied scientists, data scientists, and economists to develop hierarchical housing-market forecasts at regional levels.
  • Identify economic and demographic drivers of housing-market growth across regions.
  • Extract features to predict housing-market trends 1 to 2 years in the future.
  • Collaborate with engineering to deploy models into production environments.
  • Contribute to monthly forecast production.
  • Communicate forecast performance and the housing-market outlook to business partners and senior leadership.
  • Develop scenario models covering a range of housing-market outcomes.
  • Contribute to a company-wide stress-testing framework.
View Full Description & ApplyYou'll be redirected to the employer's site
USD 132400 - 222600 / year; In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $139,400.00 - $222,600.00 annually. In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $132,400.00 - $211,600.00 annually.
Apply Now