You're a motivated Master student with a 3.0 GPA or higher seeking a degree in one of the following areas listed below from an accredited college or university:
MS Business Analytics, MS Data Science
This is a learning-intensive program designed to give you essential business insights and hands-on experience in your field of choice. It's a full-time, 10-week commitment from May 31, 2023 through August 4, 2023.
Benefits include professional development sessions, networking opportunities, and mentorship.
The Spectrum Internship Experience You have clear aspirations and are seeking a summer internship program that will help you meet them. Find it at Spectrum, named one of the 2022 Top 100 Internship Programs in the United States by WayUp and Yello.
Our internships are designed to provide:
Opportunities to gain new skills and elevate the ones you already have, all in a robust and forward-thinking business setting.
First-rate, hands-on experience in the telecommunications industry.
Opportunities to connect you with people who can give you a better understanding of the industry and help you accomplish real goals you can add to your resume, this includes assigning you a formal mentor and interactions with senior executives.
What you can expect in this role As a Spectrum Intern, you'll be essential to two teams - your respective department and your Intern peer group. Department and team-focused projects account for about 80% of your schedule. You'll spend the other 20% on professional development sessions and networking activities, including the Kickoff Conference on May 31st, webinars, community service, cross-functional project, and final presentations.
Internship responsibilities may include
BI Analytics Projects.
Research and development of new tools and techniques to apply within existing workflow(s)
Design and development of data visualizations tools
Research and applications of interpretable machine learning methods
Geospatial analytical techniques and tools
Ad-hoc analytics requests
Profiling new data sources
Using data analysis to answer pressing business questions
Presenting analytical findings / making data-driven recommendations
Active participation in learning about the team and how it fits into the company
Develop understanding of common data sources, tools, etc.
Develop understanding of organizational structure, relationships, responsibilities, etc.
Here's what it takes to get started
Required qualifications
Must be currently enrolled in an accredited College or University completing a Bachelor's Degree or Advanced Degree
Must have at least a 3.0 GPA or greater in current program
Ability to travel locally to Spectrum Intern development events and activities throughout the program
Authorization to work in the U.S. without restrictions or need for future sponsorship
Hands-on experience with intermediate SQL, and one of either R or Python in a data science / analytics context.
Ability to translate business needs into technical requirements.
Basic understanding of statistical and predictive modeling concepts.
Hands-on experience with analyzing large and complex data sets to provide valuable insights and findings.
Experience with preparing data for visualization and reporting using Excel, PowerPoint or Tableau.
Hands-on experience with building machine learning models - regression, XGBoost, decision trees etc.
Basic knowledge of interpretable machine learning techniques, including regression, XGBoost, partial dependencies, SHAP scores, etc.
Experience in writing and speaking about technical concepts and giving data-driven presentations to business and technical audiences.
Preferred qualifications
Ability to travel locally to Spectrum Intern development events and activities throughout the program
Analytical skills
Advanced Excel skills
Organizational skills
Oral and written skills
Problem solving skills
Project and time management skills
Proficiency in Microsoft Office: Word, Excel, PowerPoint, Access
Works well in a team environment
Works well independently
Advanced knowledge of interpretable machine learning techniques.
In-depth experience with preparing data for visualization and reporting using Excel, PowerPoint or Tableau.
In-depth experience with SQL, and one of either R or Python in a Data Science / Analytics context.
Basic knowledge of core project management competencies.
Strong willingness to learn about the team and organization.
GGN100 328441 328441BR EOE, including disability/vets