Applied Data Scientist
CompStakNew York, New York, United States • Atlanta, Georgia, United States • Chicago, Illinois, United States • Los Angeles, California, United States
Posted October 21, 2025
120000 - 160000 USD year
Full Time
About the Company
CompStak is the leading provider of commercial real estate deal information, offering brokers a seamless platform to exchange and access comprehensive data including lease comps, sale comps, loan data, property information, and analytics. Through crowd-sourced data, CompStak enhances transparency in real estate transactions, driving more effective deal making.
Job Description
CompStak is seeking an Applied Data Scientist specializing in econometric modeling and commercial real estate (CRE) to analyze market trends and deliver actionable insights. The role involves leveraging advanced statistical modeling, machine learning, and data pipelines to build scalable data products and improve the CRE industry. The company leverages crowdsourced data and analytics to help real estate investors, lenders, landlords, and brokers.
Requirements
- 3+ years of experience in an economics-focused role
- Strong understanding of economics
- Proficiency in Python and key ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow)
- Excellent organizational, communication, and stakeholder management skills
