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Job Location: Stamford, CT
Job Detail:
At a Glance
- 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.
- 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 résumé, this includes assigning you a formal mentor and interactions with senior executives.
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:
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.
Required Qualifications
Here’s what it takes to get started
- 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.
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