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WeWork is transforming buildings into beautiful, collaborative workspaces for creators.
Engineering, Internship    New York, New York    Posted: Thursday, October 25, 2018
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As WeWork continues to rapidly expand & grow, our newly created Revenue Optimization function is focused on building the foundations for pricing / yield management & inventory optimization through state-of-the-art analytics & predictive modelling.

The intern position on the Revenue Optimization team will support the development of a state-of-the-art modeling framework to improve yield management & inventory optimization at WeWork. This position will support building analytical rigor & statistical methods to our Revenue Optimization strategies & systems.

WeWork Mission

WeWork is the platform for creators, providing hundreds of thousands of members around the world with space, community & services that enable them to do what they love & create their life's work. Our mission is to create a world where people work to make a life, not just a living, & our own team members are central to that goal.

The Team:

The mission of Revenue Optimization is focused on building the foundations for pricing/yield management & inventory optimizations through state-of-the-art analytics & predictive modeling. The group will act as an in-house consulting team analyzing data to define strategies & execute on initiatives that will maximize our revenue streams for WeWork.


  • Work on high-visibility revenue optimization projects (e.g. price optimization, customer segmentation, & demand forecasting) to improve revenue growth for WeWork.
  • Use large, complex data sets to monitor office demand across different product types & optimize inventory across the WeWork fleet.
  • Conduct end-to-end analysis that includes data gathering & requirements specification, processing, analysis, & effectively communicate findings & provide key insights/recommendations to various functional leads.
  • The candidate will also serve as an internal consultant conducting ad-hoc analysis on various strategic initiatives such as new market pricing & promotion analytics.


  • Currently pursuing a degree in a quantitative discipline (e.g. Operations Research, Statistics, Economics)
  • Proficient knowledge of R or Python, SQL
  • Comfortable with quantitative analysis, statistical techniques, data mining
  • Good communicator (written & visual presentation)
  • Strong interpersonal skills & ability to influence others
  • Great team player
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