Applied Scientist

Zillow Group Inc.; Northern (KY); Remote; USD 139,000 - 222,000; Full time

Benefits offered by this job

Equity awards

Job summary

Zillow Group Inc. is seeking an Applied Scientist to advance hierarchical forecasts of the housing market using traditional econometrics and modern ML. You will extract features, validate models, and help deploy forecasting solutions across regions.

The role emphasizes collaboration with data scientists, economists, and engineers, with a focus on production deployment, forecast production, and scenario modeling. Equity awards are available.

Qualifications

• MSc/PhD in a quantitative field or equivalent.
• 2+ years in time series/spatial forecasting space.
• Strong foundation in econometrics and ML techniques.
• Experience with large-scale datasets and distributed computing.

Responsibilities

• Collaborate on hierarchical forecasts for housing market at regional levels.
• Identify economic and demographic drivers and extract predictive features.
• Model deployment with engineering team in production environments.
• Contribute to monthly forecast production and communicate outlook to leadership.
• Develop scenario models for stress-testing framework.

Skills

Time series forecasting

Econometrics

Machine learning

Data cleaning

Feature engineering

Distributed computing (Spark)

Model evaluation

Cloud deployment

AI agents automation

Communication

Education

Master’s or PhD in Mathematics/Statistics/Econometrics/Earth Sciences/ related field

Tools

Spark

Cloud platforms

Job description

## Applied ScientistApply: Remote: Remote-USA: Full time: Posted Yesterday: End Date: December 7, 2026 (30+ days left to apply): P751481## About the teamJoin 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.## About the roleAs an Applied Scientist you will actively participate in Collaborative Forecast Development: Work alongside other applied scientists, data scientists and economists to develop hierarchical forecasts for the housing market at various regional levels: * 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.* Model Deployment: Collaborate closely with the engineering team to deploy models into production environments.* Forecast Production: Contribute to monthly forecast production, communicating forecast performance and the housing market outlook to business partners and senior leadership team.* Scenario Modeling: Develop scenario models that capture a wide range of housing market outcomes and contribute to a company-wide stress-testing framework.This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.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. This base pay range is specific to these locations and may not be applicable to other locations.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. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.## Who you are* Keen Housing Market Observer: Strong interest and understanding of the housing market and the economic factors that influence it.* Innovative Problem Solver: Passionate about working on innovative solutions to time series, panel data, and hierarchical forecasting problems, conducting independent research, and applying research methods to real-world problems. * Technical Proficiencies: * + Strong foundation in traditional econometric methods and modern machine learning techniques. + Proficient in data cleaning, preprocessing, and feature engineering for time series data. Experience with large-scale datasets and familiarity with distributed computing frameworks such as Spark. + Ability to design and implement robust model evaluation and validation strategies, including cross-validation and backtesting. Experience with metrics for time series forecasting accuracy and performance assessment. + Proficient in cloud-based platforms and tools for deploying and monitoring machine learning models. + Proficient in building AI agent to automate manual work * Communication Skills: Excellent verbal and written communication skills, capable of conveying complex concepts to a broad audience.* Experience: 2+ years of proven experience working in time series/spatial forecasting space.* Educational Background: Master’s or PhD degree in Mathematics, Statistics, Economics, Econometrics, Physics, Earth Sciences, or a related scientific field ## Get to know usAt Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help people navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company reshaping an industry and helping more people make home a reality. How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise. Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For in 2026, and included on TIME’s America’s Best Companies 2026 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together. *Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.* *Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.*