Fall 2020 Virtual Intern – HBO Max Data Science

Warner Media LLC
Warner Media LLC

Job Overview

**178541BR****Posting Job Title:**Fall 2020 Virtual Intern – HBO Max Data Science**WarnerMedia Business:**Turner**Posting Job Description:****Fall 2020 Virtual Intern ** **HBO Max Data Science****The WarnerMedia Story**WarnerMedia is a leading media and entertainment company that creates and distributes premium and popular content from a diverse array of talented storytellers and journalists to global audiences through its consumer brands including: HBO, HBO Now, HBO Max, Warner Bros., TNT, TBS, truTV, CNN, DC Entertainment, New Line, Cartoon Network, Adult Swim, Turner Classic Movies and others.**HBO Max is the future of entertainment and storytelling.** WarnerMedias new streaming entertainment offering, HBO Max?is the culmination of some of the most innovative new technology and greatest creative talent in the industry. Anchored by?the entire HBO service, arguably?the greatest brand in television, HBO Max?also?features?fan favorites?from the?WarnerMedia library including?Warner Bros., New Line, DC, CNN, TNT, TBS, truTV, Turner Classic Movies, Cartoon Network, Adult Swim, Crunchyroll, Rooster Teeth, Looney Tunes, and more. HBO Max is home to key third-party library acquisitions, such as?Friends,?South Park?and?Doctor Who,?and?more than?50 exclusive?Originals in its first year, from the likes of groundbreaking creative talent such as J.J. Abrams, Ridley Scott, Jordan Peele, Steven Soderbergh, Michael Mann, Mindy Kaling, Reese Witherspoon, Anna Kendrick, Greg Berlanti, Melissa McCarthy, Robert Zemeckis, Ellen DeGeneres, and other visionaries.**The Team**The HBO Max Data Science team is responsible for designing and executing end-to-end data science solution to transform data into actionable insights, and help our business stakeholder to decide how to create, market, and distribute our content & service.**The Job**We are looking for an eager and analytical individual who has strong data science background and wants to create an impact on our business.**The Essentials**+ Familiar with a variety of machine learning and/or deep learning techniques.+ Hands-on experience using Python.+ Experience in data processing using SQL.+ Passionate to apply the ML algorithm to real business challenges.+ Motivation to learn new skills, tools, and analytics techniques.+ Detail-oriented+ Effective written and verbal communication skills.+ Interest in media & entertainment, and LOVE watching new shows on HBO Max.**The Perks**+ An opportunity to work with a great team that is passionate about the same thing you are!+ Networking opportunities to meet people that youd like to know!+ A speaker series that introduces you to cool executives and what they do for the best brands!+ Part of the WarnerMedia family of powerhouse brands.The Fall 2020 program dates are October 19th through December 4th. The internship will be a full remote/virtual experience. Most internships will provide a company owned laptop for the duration of the internship program. Interns are paid a competitive wage based on team/bureau location and relocation is not provided as the program is fully remote/virtual. Participation in the internship program is reserved for students who are currently enrolled in college or within 6 months post-graduation. Most positions are targeted to upperclassmen and graduate students.Warner Media, LLC and its subsidiaries are equal opportunity employers. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.**Requisition #:**178541BR**Area of Interest:**Data Science**Industry:**Advertising, Cable/Broadcast Television Networks, Games Development & Publishing, Online Content/Services**Location:**United States – California – Burbank**Position Type:**Intern**Business Unit:**ENTER

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