Applied Scientist

Job Summary

A company is looking for an Applied Scientist to develop and refine forecasting models for the housing market.

Key Responsibilities

• Develop and refine forecasting models for national, regional, and local housing markets
• Collaborate with applied scientists, data scientists, economists, and engineers to derive actionable insights from large-scale data
• Utilize AI tools and emerging technologies to enhance research productivity and forecasting workflows

Required Qualifications

• Master's or PhD degree in a quantitative field such as Mathematics, Statistics, or Economics, or equivalent practical experience
• 2+ years of experience with time series and/or spatial forecasting problems
• Solid foundation in econometric methods and modern machine learning techniques relevant to forecasting
• Hands-on experience with large-scale time series or panel datasets, including data cleaning and preprocessing
• Proficiency in software development best practices and tools, including version control systems like Git