Applied Scientist

This is a fully remote position, open to applicants in California, +16 more states.

📋 Description

• Create hierarchical forecasts pertaining to the housing market across various regional levels.

• Determine economic and demographic factors influencing housing market growth within different regions.

• Extract features that are predictive of housing market trends for the upcoming 1 to 2 years.

• Work collaboratively with engineering teams to implement models into production settings.

• Assist in the production of monthly forecasts.

• Present forecast performance and housing market perspectives to business partners and senior management.

• Develop scenario models that encompass a broad spectrum of housing market outcomes.

• Play a role in a company-wide stress-testing framework.

• Conduct independent research and utilize research methodologies to address real-world challenges.

⛳️ Requirements

• Strong interest and comprehension of the housing market and its influencing economic factors.

• Experience with time series, panel data, and hierarchical forecasting methods.

• Solid foundation in traditional econometric approaches as well as contemporary machine learning techniques.

• Expertise in data cleaning, preprocessing, and feature engineering specifically for time series data.

• Experience working with large-scale datasets.

• Familiarity with distributed computing frameworks like Spark.

• Capable of designing and executing model evaluation and validation techniques, including cross-validation and backtesting.

• Knowledge of time series forecasting accuracy and performance metrics.

• Proficient in cloud-based platforms and tools for the deployment and monitoring of machine learning models.

• Skilled in creating AI agents to streamline manual tasks.

• Exceptional verbal and written communication abilities.

• A minimum of 2 years of demonstrable experience in time series/spatial forecasting.

• Master’s or PhD degree in Mathematics, Statistics, Economics, Econometrics, Physics, Earth Sciences, or a related scientific discipline.

🏝️ Benefits

• Equity awards based on experience, performance, and location.

• Opportunity to work remotely from a location of choice.

• Flexible working arrangements that allow employees to work from where they are most productive.

• Commitment to equal employment opportunity and an inclusive work environment.

• Accommodation for disabilities or special needs.