Applied Scientist, Housing Market Forecasting

Zillow Group Inc.; A distancia; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading real estate platform is seeking an Applied Scientist for its Housing Market Forecasting team, focusing on economic analysis and machine learning applications. Responsibilities include feature extraction, model deployment, and contributing to monthly forecasts. The ideal candidate has a strong background in econometrics and a passion for solving complex forecasting problems. This remote role requires excellent communication skills and a Master's or PhD in a related field.

Formación

• 2+ years of experience in time series/spatial forecasting.
• Strong foundation in econometric methods and machine learning.
• Expertise in feature engineering for time series data.

Responsabilidades

• Identify economic and demographic predictors of housing growth.
• Deploy models into production with the engineering team.
• Contribute to monthly forecast production and performance communication.

Conocimientos

Strong interest in housing market

Problem-solving

Technical proficiency in econometric methods

Proficient in data cleaning

Experience with large datasets

Software development best practices

Strong verbal and written communication

Educación

Master’s or PhD in relevant field

Herramientas

Spark

Git

Descripción del empleo

Applied Scientist, Housing Market Forecasting

Remote, Full time, Mexico City

Job requisition id: P******

Posted Yesterday

About the team: Join our dynamic team, leveraging a comprehensive database of over 100 million homes, transactions, and users to predict and analyze housing market trends.

About the role

• 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.
• Role is Remote: Remote employees work from their chosen location. U.S. employees may live in any state with limited exceptions.

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 software development best practices and version control systems (e.g., Git).
  • Proficient in cloud‑based platforms and tools for deploying and monitoring machine learning models.
• 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 in Mathematics, Statistics, Economics, Econometrics, Physics, Earth Sciences, or a related field.

Get to know us

At 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 customers navigate buying, selling, financing and renting with greater ease and confidence.

We’re an equal opportunity employer committed to fostering an innovative, inclusive, and engaging culture where employees are empowered to grow.

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. Los Angeles County applicants: Job duties include working safely and cooperatively with other employees, supervisors, and staff; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.