Spring Intern - CBS Sports Data Engineering

Job Description

DESCRIPTION:

Division Overview:

CBSSports.com provides premium online and mobile content to the connected sports fan, including live and on-demand video, in-depth analysis, breaking news, and scores and statistics across high school, college, and professional sports. CBSSports.com is part of CBS Interactive's portfolio of multi-platform brands, which includes premier Fantasy offerings, high school sports leader MaxPreps, 247Sports, Scout and CBS Interactive Advanced Media producing more than 130 official collegiate athletic sites.

Role Details:

For my daily fantasy football lineup, who should I start: Tom Brady or Patrick Mahomes? Which 4-game parlay across several leagues has an 8 to 1 odds? As an intern, you will work alongside data & software engineers answering questions like these daily. Using groundbreaking technologies, you'll get to work on exploring, developing & training models with game situations, game conditions and league events data for predictive analytics and other statistical insights.

Your Day-to-Day:
• Performing exploratory and data gap analysis on core sports data
• Building out real-time predictive data pipelines
• Building out visualization dashboards
• Building out new data features for sports gambling insights.
• This is a paid internship and can also be for university credit if it meets your university's guidelines

Logistics:

QUALIFICATIONS:

What you bring to the team:

You have -
• A sports fanatic - you are really sad when your favorite team(s) loses, you can break down matchups across different leagues, you have a strong opinion about which activities should be deemed a sport.
• Good understanding of data structures, algorithms, object oriented design and patterns.
• Intern must be a student currently enrolled in an accredited college, university or bootcamp
• Must be at least 18 years old

You might also have -
• Experience with sport data research
• Experience building web applications for data visualization
• Technology experiences with: AWS, SageMaker, Python, NodeJS, Lambda, API Gateway, DynamoDB & RDS

Jobcode: Reference SBJ-gxky3o-18-216-94-152-42 in your application.