Data Scientist - Econometrics

| Greater NYC Area | Hybrid
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The Role: 

CompStak is a venture-backed tech startup that is revolutionizing the commercial real estate industry. We’ve built an innovative platform that enables professionals to trade data they have in exchange for the data they need about deals happening in any given market in the U.S. 

We are looking for a data scientist with Econometrics background and proven time series analysis experience to join an established data team. Our team is responsible for building a scalable and efficient data pipeline, serving high-quality data to the end user and providing analytics and ML services for our suite of products that are revolutionizing the commercial real estate industry.

Your Mission:

  • Develop and improve real estate market forecasting algorithms 
  • Build scalable models that analyze and extract information from disparate public sources and crowdsourced data
  • Leverage advanced statistical modeling to guarantee proper data QA process
  • Drive unique product development using our rare dataset
  • Research and implement the latest advances in the world of data

Technical Requirements:

  • 4+ years of data science experience
  • 2+ years of professional experience with time series analysis
  • Advanced degree in a quantitative field
  • Thorough knowledge of machine learning modeling processes
  • Thorough knowledge of Econometrics
  • Thorough knowledge of supervised and unsupervised learning algorithms
  • Experience with implementation of Data Systems
  • Working knowledge of Python or Scala preferred
  • Understanding of relational and NoSQL datastores
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Location

Our company is in a trendy area with plenty of food options. Plus, the office has many nearby subway lines and walkable from Penn Station.

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