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Jobs at Uptown Treehouse

Marketing Data Science Intern

Location: West Hollywood, CA

Department: Data Science

Type: Internship

Min. Experience: Entry Level

Uptown Treehouse is searching for self-motivated individuals interested in a 3-month marketing data science internship focused around social media and web traffic data. If you’re selected, you’ll have several different projects to choose from for a myriad of clients such as: Lenovo, Microsoft, Uniqlo, Western Union, and many more. At the end of the internship, you’ll present your results. 
The internship is 3 days a week in office and is not compensated. We offer experience for your time and also a written recommendation. The vast majority of our interns have gone on to work at major companies such as Amazon, Google, and Yahoo!


  • ROI Forecasting
  • Website Traffic Forecasting
  • Social Media Ad Spend Optimization
  • NLP of Social Media Conversations to Abstract High-Level Insights
  • Image Processing of Brand Logos via Convolution Neural Networks

In addition to a project, we’ll introduce you to our everyday work flow that you’ll be asked to assist with.

Job Functions:

  • Assist in conducting analysis to determine key performance trends and outliers as well as uncover challenges and opportunities to build solutions that drive growth against client and agency business objectives.
  • Coordinate with the Strategy and Design teams to draft visually appealing reports, infographics and other related materials.
  • Learn to research and pitch emerging technologies that can be used for improving digital and social intelligence.
  • Query and manipulate raw data through the use of advanced functions to deliver against specific objectives.
  • Assist in ad hoc projects within the agency; collaborate with internal teams to quickly get up to speed on new technology, challenges and/or opportunities to help drive the solution.


  • A working knowledge of python and some of its scientific & machine learning modules: pandas, keras, sklearn, matplotlib, numpy - required
  • B.S. (or graduating 2018) in a mathematically inclined degree - required
  • Familiarity with machine learning algorithms such as: Random Trees, SVM, KNN, Regression, etc. - required
  • Familiarity with NLP - required
  • Basic understanding of simple Neural Networks - required
  • Basic knowledge of HTML, CSS, and JAVA
  • Experience interacting with APIs
  • Google Analytics or Adobe Omniture 
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