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Internship

Marketing Science and Engineering Intern

🚀 Off-cycle Internship

Beverly Hills

AI generated summary

  • You must be a Masters or PhD student with experience in Python/Java, data analysis, SQL, and machine learning. Curiosity and teamwork skills essential.
  • You will work with a team to provide machine-learning insights, evaluate tech tools, and create analytical tools for audience analysis and SEO optimization.

Off-cycle Internship

DataBeverly Hills

Description

  • We are looking for software and machine learning graduate students to leverage and explore methods and algorithms to help connect fans to the live events they crave and remember. You are an individual with a strong curiosity about data and leveraging it to connect to fans. You are excited to work on large data sets and summarize them using a broad range of algorithms and computational approaches. 
  • You will be working with some of the most exciting data, tools, frameworks like Spark, Scikit Learn, Pandas, and AWS just to name a few, and be a key contributor to Live Nation’s large-scale collaborative filtering system and marketing platform.

Requirements

  • Must be currently a Masters or PhD student
  • Coursework and/or professional experience with a high-level programming language like: Python and/or Java
  • Coursework and/or previous experience with data analysis and SQL languages a plus (some projects may require it)
  • Machine learning coursework a plus
  • Experience with state-of-the-art machine learning tool kits and algorithms
  • Interest and the desire to learn
  • Effective communication skills and enjoying work as part of a team

Education requirements

Currently Studying
Masters
PhD

Area of Responsibilities

Data

Responsibilities

  • We have a variety of teams and problems where you can work and learn
  • Be part of a dynamic, highly-focused team that is responsible for providing machine-learning insights and products that engage Live Nation’s 170+MM users
  • Research and evaluate the effectiveness of various tech tools
  • Work with Recommendations, Analytics, Marketing Automation and SEO Team members to create tools to analyze audiences, website content, conversion, search keywords and their relationships

Details

Work type

Full time

Work mode

hybrid

Location

Beverly Hills