Data Scientist

Truss is seeking a Data Scientist to work on its internal and client-focused quantitative analytics projects

Responsibilities include, but are not limited to the following:

  • Development and maintenance of interactive reporting and analytics capabilities
  • Creation of compelling and informative data visualizations
  • Building, validating and maintaining models to answer a variety of internal analytic questions including website performance, marketing efficiency, and sales forecasting
  • Building, validating, and maintaining models and other analytic tools to help inform Truss’s analytics clients about the Commercial Real Estate (CRE) industry
  • Researching, extracting, and maintaining external data sources that enhance the understanding of Truss’ business


  • Bachelors (minimum) or advanced (preferred) degree in Computer Science, Statistics, Engineering, Mathematics or quantitative-focused social science
  • Experiencing with programming in R, MATLAB, Python or similar scripting languages
  • Excellent data visualization and written communication skills to translate complex models and analysis results into layman terms

Preferred Experience:

  • Deep expertise in Google Analytics
  • Fluency in JavaScript and other components of the modern web development environment
  • Hands-on experience with data analysis and model development in the search, advertising, or marketing domain space.
  • Experience working in the Linux environment and with AWS.
  • Experience working in TensorFlow or other machine learning-focused frameworks

To apply, please send a resume to