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Internship

Summer Virtual Virtual Intern - Data Science

Warner Media

Remote / Virtual 01-06-2022
 
  • Paid
  • Internship
  • Entry (0-2 years) Experience
Job Description
The Job:

The Content Data Science team works to understand behavior of content on our direct-to-consumer platform, and works closely with creative and technical teams to help them make data informed decisions. The intern would work to build analytical and machine learning solutions for content based problems.

The Daily:
• Develop solutions and build prototypes to solve business problems using machine learning and statistical analysis
• Create impact by helping to solve difficult data science problems using a variety of ML techniques with careful investigations into accuracy / performance
• Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and clearly communicate with both non-data science audiences (such as creatives) and data scientists

The Essentials:
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization and analytics
• Experienced in Python and SQL
• Experience in time series forecasting
• Experience building and using state of the art models such as deep learning in NLP or computer vision or similar application

Internship Program:
• Students must be currently enrolled in a college degree program for the full duration of the internship
• Summer 2022 program dates are June 6th - August 12th (additional time frames are available for students in a university quarter system); must be available for full program duration
• Full-time schedule (40 hours/week)
• Company-issued computer provided for the duration of the internship program.
• Competitive salary; relocation is not provided
• Hands-on work with passionate, talented team members in your field
• Networking opportunities with industry-leading professionals
• Engaging events including executive speakers sessions, professional development workshops, and more.

Jobcode: Reference SBJ-gx6b41-18-222-200-143-42 in your application.