Zillow
Applied Scientist
US · Junior · full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- Join our dynamic team, leveraging a comprehensive database of over 100 million homes, transactions, and users to predict and analyze housing market trends.
- As an Applied Scientist specializing in traditional econometrics and machine learning with a focus on time series and hierarchical forecasting, you will play a critical role in shaping our understanding and forecasting of the housing market.
- Feature Extraction: Identify economic and demographic driving forces of housing market growth across regions and extract features that predict housing market trends 1 to 2 years in the future.
Responsibilities
- Model Deployment: Collaborate closely with the engineering team to deploy models into production environments.
Requirements
- Experience with large-scale datasets and familiarity with distributed computing frameworks such as Spark.
- Experience with metrics for time series forecasting accuracy and performance assessment.
Skills
- Excellent verbal and written communication skills, capable of conveying complex concepts to a broad audience.
- Get to know us
- Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees.
Compensation
- 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.
- The base pay range is specific to these locations and may not be applicable to other locations.
Benefits
- In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
This listing is sourced directly from Zillow's careers page and normalized into a canonical job model.