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Decision Scientist - Course Developer- Instructor

Apply NowApply Later Job ID 948429BR Location Orlando, Florida, United States / Lake Buena Vista, Florida, United States Business The Walt Disney Company (Corporate) Date posted Apr. 20, 2022

Job Summary:

The Decision Science team resides within the Disney Decision Science + Integration (DDSI) organization. DDSI is an analytical Center of Excellence (CoE) that provides internal consulting services for clients across The Walt Disney Company, including Disney Parks, Experiences and Products (covering Parks & Resorts, Signature Experiences, and Consumer Products, Games and Publishing) and Disney Media & Entertainment Distribution (covering content from Studios, General Entertainment and Sports).

The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions, and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation and integration with business processes, and ongoing business support.

As a CoE for analytics, DDSI is responsible for developing and teaching courses in data science to other organizations across the The Walt Disney Company. This training is driving value by "upskilling" individuals in topics such as data visualization, process automation, causal inference, probability & uncertainty, modern forecasting & prediction, and mathematical optimization. The Decision Scientist – Course Developer/Instructor will play a pivotal role in developing and delivering these courses in addition to serving as Decision Scientist to help consult with internal clients.

Responsibilities:

Responsibilities as a Decision Scientist Course Developer/Instructor:
  • Develop courses on analytical topics such as probability and uncertainty in business decision making, optimization for business processes, coding for automation and data analytics, machine learning for business forecasting and prediction, data visualization for business intelligence, among others
  • Write exams to certify that students have learned the relevant material
  • Teach courses on data science to live or remote audiences of business professionals
  • Consult with business professionals on how to best apply methods taught in courses in their daily work

Additional responsibilities as a Decision Scientist in DDSI
  • Achieve business goals and objectives—Research and develop decision science models and act as a consultant to all business units within The Walt Disney Company
  • Pursue innovation—Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users
  • Tell the story—Present science results to business partners and clients
  • Support a global and enterprise-wide mission—Identify and apply best practices in the field of advanced analytics for multiple businesses such as theme parks and resorts (e.g. Walt Disney World), Disney Cruise Line, media (e.g. ABC, ESPN), movies (e.g. Walt Disney Animation Studios), live shows (e.g. Disney on Broadway), and retail (e.g. shopDisney)

Basic Qualifications:

  • Ability to teach concepts on technical subject matter to non-experts in a clear and memorable way.
  • Ability to craft slides, animations, and scripts to be used in teaching live or remote audiences.
  • Ability to write exams for technical content.
  • Excellent written and spoken English.
  • Expertise in one or more of the following technical topic areas: statistics, optimization, econometrics, machine learning, applied mathematics, probability, or related fields.
  • Experience writing code in a language like R, Python, Julia, or other coding language

Preferred Qualifications:

  • Experience developing data-science training for business professionals.
  • Experience in effectively communicating technical concepts to non-technical audiences.
  • Experience presenting technical concepts to executives.
  • Experience developing certification exams.

Required Education

  • Master’s or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field


About The Walt Disney Company (Corporate):

At Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you’ll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with Disney Worldwide Services, Inc., which is part of a business we call The Walt Disney Company (Corporate).

Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

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