Aartificial intelligence, Java Programming, Machine learning techniques, Python Programming, R Programming, Sports analytics, SQL
The ESPN Sports Analytics team is a multidisciplinary group within Business Development & Innovation where all members have a deep knowledge of sports, statistics, databases, coding, and storytelling. Combining best-in-the-industry data with advanced mathematics and statistical modeling skills, Sports Analytics has created storytelling tools and metrics that have improved the evaluation of team and player performance, such as Total QBR and power ratings for NFL, NBA, college football and college basketball. These products make fans better informed and help keep ESPN at the cutting edge of sports statistical analysis.
The Sports Data Scientist will be the lead architect in designing team and player performance metrics and their underlying framework. The Sports Data Scientist will work with the Analytics leadership team to define project timelines and delegate duties, as well as assisting in evaluating potential projects. The incumbent must demonstrate critical thinking about the execution of the projects and keep Analytics leadership informed of progress. Completing work on deadlines is a crucial requirement. A portfolio of successful analytics projects and metrics is necessary to be considered for this position. The Sports Data Scientist will have the skills to partner with other data scientists and developers as well as Content teams and Technology and Digital Product staffers on projects. Candidates need to have a deep understanding of Bayesian statistics and a background in constructing predictive models and complex formulas that explore new areas of analytics, ideally in sports.
But the role of the Sports Data Scientist doesn’t end with the numbers. The person in this role will be required to turn this information into language that allows integration into storytelling across all ESPN platforms, including TV and digital. The Sports Data Scientist will tell stories in the most accurate way, using advanced analysis and matching the storytelling to the medium. Translating the complex into understandable language is a key component.
The Sports Data Scientist must demonstrate peer-to-peer leadership and the ability to have 1-2 direct reports, if necessary, and the incumbent must execute the requisite supervisory functions that entails.
Ideal candidates will possess the following traits:
Responsibilities
Basic Requirements
Preferred Requirements
Basic Education
Preferred Education
From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started! Disney Streaming Services is a business unit within Disney’s Direct-to-Consumer and International (DTCI) segment that oversees all consumer
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bengaluru, Karnataka, India
2-4 year
Gurgaon, Haryana, India
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Mumbai, Maharashtra, India
2-4 year
Orlando, FL, USA
2-4 year
Orlando, FL, USA
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Taipei City, Taiwan
2-4 year
San Francisco, CA, USA
2-4 year
Glendale, CA, USA
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bengaluru, Karnataka, India
6-8 year
Mumbai, Maharashtra, India
2-4 year
Santa Monica, CA, USA
6-8 year
Lake Buena Vista, FL, USA
4-6 year
San Francisco, CA, USA
8-10 year
Santa Monica, CA, USA
8-10 year
Seattle, WA, USA
8-10 year
Bengaluru, Karnataka, India
4-6 year
Mumbai, Maharashtra, India
4-6 year
New York, NY, USA
8-10 year
Bristol, CT, USA
8-10 year
New York, NY, USA
4-6 year
Bristol, CT, USA
4-6 year
Santa Monica, CA, USA
6-8 year
New York, NY, USA
6-8 year
Santa Monica, CA, USA
8-10 year
New York, NY, USA
8-10 year
Orlando, FL, USA
10-12 year
Glendale, CA, USA
10-12 year
Seattle, WA, USA
10-12 year
Anaheim, CA, USA
10-12 year
Lake Buena Vista, FL, USA
10-12 year
Santa Monica, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
New York, NY, USA
4-6 year
Santa Monica, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Bristol, CT, USA
12-14 year
Burbank, CA, USA
12-14 year
Santa Monica, CA, USA
0-2 year
Seattle, WA, USA
0-2 year
Glendale, CA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
Santa Monica, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
8-10 year
New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
New York, NY, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
Bristol, CT, USA; Burbank, CA, USA; Glendale, CA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
2-4 year