Data Science & Product Management Intern

Data Science & Product Management Intern

Denver, CO

What You’ll Get

This isn’t your ordinary internship. We need someone that comes ready and expecting to help out in a big way. We are a growing company with big ideas and we need someone who can hit the ground running. Today most telecom companies enable communications, however at IntelePeer, we want to add value to each interaction that drives amazing business outcomes for our customers. You’ll be working to help develop analytics and reporting that will drive added value for our customers. You will also get experience managing tactical day-to-day operations in our pricing organization. Throughout your time with us, you can expect that you will gain a vast knowledge of the telecom world & customer needs, fine-tune your analytical skills, and gain invaluable insight into the executive thought process, and much more. For the right candidate, this position may turn into an offer for employment.

What We’re Looking For

We’re looking for a hard-working individual to assist with development and implementation of our analytics offering. This will consist of assisting in creating and implementing Machine Learning and AI algorithms to drive extraordinary insights that will wow customers. You will also be asked to help with customer pricing and vendor management. You should be highly analytical with good problem-solving skills. Your day-to-day job will vary, and you will be expected to react quickly to changing expectations.

Position Responsibilities

 
  • Candidate will be expected to actively work on learning and improving telecom knowledge
  • Develop reporting, dashboards, analytics, and visualizations
  • Research best practices in data visualization
  • Assist in researching applications of Machine Learning and AI and keep up to date on trends in the market
  • Participate in vendor negotiation and management, including contract review, rate analysis and implementation
  • Big picture strategy planning and ideation

Requirements

Education:

  • Bachelor’s degree

Expertise & Experience:

  • Advanced Excel Knowledge
  • SQL
  • Power BI
  • Python
  • R/Stata/SAS
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