Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, Docker, Github, GitLab, Google Cloud Platform (GCP), Kubernetes-K8s, PostgreSQL, Python Programming, SQL
About the Role & Team
We create happiness. That’s our motto at Walt Disney Parks and Resorts, and it permeates everything we do. At Disney, you’ll help encourage that magic by enabling our company to push the limits and build the never-before-seen! Are you ready to join this team and make an impact
Disney Experiences (DX) is a world-class entertainment and technology leader. Walt’s passion was to innovate continuously and push the boundaries of what is possible, which remains central in our business today. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences, and we’re constantly looking for new ways to enhance these exciting experiences for our guests. A Sr. Data Scientist in this group will help guide the creation, installation, and support the data analysis and development of machine learning models for our attractions. We work closely with internal partners to deliver world-class guest experiences with interactive & data systems across DPEP. You will be reporting to the Attractions Operational Technology organization.
This is a full time role.
What You Will Do
Required Qualifications & Skills
Preferred Qualifications
Education
Additional Information
Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits.
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