Senior Applied Scientist

Job Summary

A company is looking for a Senior Applied Scientist, Forecasting.

Key Responsibilities

• Analyze large datasets to understand buyer and seller behavior and uncover key drivers of real estate outcomes
• Develop and deploy time series and econometric forecasting models to address critical business questions
• Translate forecasts into insights and recommendations for senior leadership and partner cross-functionally to improve forecasting capabilities

Required Qualifications

• 7+ years of applied data science experience, with a focus on forecasting and predictive modeling
• Advanced degree (MS or PhD) in a quantitative field or equivalent practical experience
• Proficient in Python and SQL for model building and evaluation
• Experience monitoring and maintaining models in production environments
• Ability to explain complex models and concepts to stakeholders with varied technical backgrounds