Applied Data Scientist – Econometrics
120k - 160k USD
Hybrid
Full Time
#Data
#Data Science
#Commercial Real Estate
#Python
#Machine Learning
CompStak is a leader in the commercial real estate industry, providing a unique crowdsourced platform that turns raw property, lease, and sales data into valuable insights for investors, brokers, and lenders. We are looking for a Senior Applied Data Scientist – Econometrics to join our team on a full-time basis. In this role, you will help us evolve our analytical systems by blending your expertise in economics and finance with modern data science techniques. You will be based in our New York office, working in a hybrid capacity that requires three days of in-office collaboration per week.
Responsibilities
- Develop econometric and predictive models to identify market patterns, forecast trends, and interpret the economic drivers behind commercial real estate data.
- Build and optimize data workflows by creating robust pipelines that integrate structured and unstructured datasets to support automation and data enrichment.
- Ensure data quality by cleaning, validating, and reconciling information from diverse sources to maintain the high level of accuracy our clients expect.
Requirements
We are seeking a candidate who brings a strong quantitative background and a passion for market dynamics. To be successful, you should possess the following qualifications:
- At least 3 years of experience in an analytical or econometrics-focused role, such as finance, economics research, or market analysis.
- A solid foundation in applied statistics and econometric modeling.
- Proficiency in Python, including experience with analytical and machine learning libraries like pandas, NumPy, scikit-learn, and XGBoost.
- Proven ability to work with large, complex datasets to derive meaningful insights.
- Strong communication skills, with the ability to explain technical findings to both technical and non-technical stakeholders.
- Bonus qualifications include experience with NLP tools, LLMs, or a background in the PropTech and commercial real estate sectors.
What we offer
We provide a competitive total compensation range of $120,000 - $160,000. Beyond salary, we are committed to supporting a flexible work-life balance through our hybrid work policy. You will be joining a growing company backed by major industry players, working alongside a collaborative team of over 100 professionals dedicated to innovation in the real estate space.
