Comcast Data Science CO-OP
Comcast

Philadelphia, Pennsylvania

Posted in Retail


This job has expired.

Job Info


Job Summary

This job code is to be used for internships and co-ops. It is not to be used for temporary or contract workers.

Job Description

Program Overview

The Comcast Cooperative Educational Program (Co-op) immerses students into the daily operations of a contemporary media and technology company while working side-by-side with Comcast's top innovators. Designed for students whose curriculum allows for a cooperative learning track, the co-op becomes an integral part of the Comcast team working on creative, innovative, and thought-provoking projects within various business units. Throughout the experience, there is opportunity for exposure to mentorship and professional development while having some fun along the way.

Role Overview

The Xfinity Mobile Business Intelligence team provides deep dive data analysis as well as predictive analytics to the XM business and technology organizations. We also ingest and make data available for the larger organization. This data and analysis is needed to operate an effective wireless business.

The Xfinity Mobile Business Intelligence team is looking for a Data Scientist who will support our operations and data architecture teams with insights gained from analyzing company data. You must be that person who can create value out of data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs. Additionally, they can utilize AI tools to automate certain processes within the Xfinity Mobile.

Co-op responsibilities include but are not limited to:

  • Create detailed insights into the XM business using:
  • Predictive Analytics
  • Prescriptive Analytics
  • Machine Learning

Preferred Qualifications

  • Currently pursuing a Bachelor's degree from a United States-based college or university that has a cooperative learning track
  • Available to work 40 hours per week for 6 months starting March 29th, 2021.
  • Preferred Majors: Data Science, Software Engineering, Engineering Technology
  • 3.2 minimum cumulative GPA preferred
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • A drive to learn and master new technologies and techniques.
  • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
  • SUPERB communication skills with an emphasis on writing and interpreting abilities
  • Excellent presentation skills. Must have the ability to confirm complex data into digestible formats for non-technical business teams.
  • Authorized to work in the United States of America
  • Comcast is an Affirmative Action/EEO employer M/F/D/V

Relevant Work Experience

0-2 Years

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.


This job has expired.

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