FAQs
What qualifications are required for the Marketing Science and Engineering Intern position?
Candidates should be software and machine learning graduate students with a strong curiosity about data and its applications in connecting fans to live events.
What types of projects will I be working on as an intern?
Interns will explore methods and algorithms to analyze large data sets and contribute to Live Nation's collaborative filtering system and marketing platform.
Which tools and frameworks will I be expected to work with?
You will work with tools and frameworks such as Spark, Scikit Learn, Pandas, and AWS, among others.
Is experience with large data sets necessary for this role?
Yes, candidates should be excited to work with large data sets and have experience summarizing data using various algorithms and computational approaches.
What is the main goal of the Marketing Science and Engineering Intern position?
The main goal is to help connect fans to the live events they crave and remember by utilizing data-driven methods and algorithms.
Will I be collaborating with other team members during my internship?
Yes, you will be a key contributor to a collaborative environment, engaging with other team members in the development of marketing strategies and data analysis.
What kind of skills will I develop during this internship?
You will develop skills in data analysis, machine learning algorithms, collaborative filtering systems, and the use of advanced data tools and frameworks in a practical setting.
How important is curiosity about data for this role?
Curiosity about data is crucial for this role, as it drives the exploration and application of various algorithms to better connect with fans.