Digible: Apartment & Multifamily Marketing Agency - Denver, CO

Data Analytics Internship

Data Analytics Internship

Digible, Inc. is an emerging startup in the digital marketing and technology field. We bring the industry's most advanced digital strategies, products and research to scale. Our focus is multifamily marketing and student housing with a client base spanning across 50 markets. Digible has big plans for expansion in 2019 for both our agency and SAAS platform. We are energetically pursuing top talent in the Denver area to grow our team and help craft the company’s future.

Digible, Inc. is seeking a paid summer intern to gain hands data science experience and mentorship, while assisting Digible with their data initiatives.  An ideal candidate should be pursuing a Bachelors or Masters in Business Analytics or Data Science. The intern will work with the Digible’s Data Department to assist in data mining, analytics, statistical and machine learning model testing/training, and visualization.

Primary Responsibilities:

  • Assist with API’s and ETL processes

  • Clean and mine various data sets

  • Assist Data Scientist with testing and training various models to support business cases

  • Assist in building and automating Business Intelligence / Data Visualization


  • Current Bachelor or Masters student in Data Science or Business Analytics

  • Training in SQL, Python, and R

  • Understanding of database design, applied statistics, and machine learning

Knowledge and Skills:

  • Comfortable working with large data sets and drawing conclusions including presenting descriptive and prescriptive statistics

  • Understanding of data mining, machine learning, and statistical models including regression, PCA, decision trees, time series, and neural networks. Languages to include

    • Python and R

  • Understanding of Data Visualization tools such as R Shiny, Tableau, Periscope, Looker, etc.

  • Strong curiosity and loves to learn

  • Willingness to work hands on to clean, organize, and analyze various types of structured and unstructured data


  • Paid internship, approximately 25 hours a week

Contact us

If you are interested in joining our team, please fill out this form and we’ll be in touch!

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