Job Summary:
The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making. In DDSI, we sit 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. As an analytical Center of Excellence, we are responsible for developing and delivering data science courses to business professionals across the enterprise, including individual contributors and executives. As a Decision Scientist
- Course Developer/Instructor, you will play a pivotal role in designing and teaching these courses.
In addition, you will have opportunities to develop innovative decision science solutions that support critical projects for internal clients. This team is based in Lake Buena Vista, FL and works in office. The role reports to the Senior Manager, Decision Science. What You Will Do Responsibilities as a Decision Scientist Course Developer/Instructor Develop and deliver applied data science courses covering topics such as probability and uncertainty, mathematical optimization, coding for automation and data analytics, machine learning, and data visualization. Support learning across the enterprise through "office hour
- style consultations that help business professionals apply methods and ideas from our courses in their day-to-day work.
Responsibilities as a
Decision Scientist:
Drive value through analytics
- Research, develop, and implement decision science frameworks as a consultant to business units across The Walt Disney Company. Pursue innovation
- Conduct research on analytical techniques and translate that research into practical solutions for users and clients. 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 lines of business.
Required Qualifications & Skills:
Minimum of 1 year of related work experience. Ability to teach concepts on technical subject matter to non-experts in a clear and memorable way. Ability to craft technical slides, animations, and scripts to be used in teaching live or remote audiences. Excellent written and spoken English. Proficient at writing code in at least one programming language like R, Python, Julia, or other programming language. Competence in at least one quantitative field, as indicated by the completion of advanced coursework and original research. Fields include, but are not limited to: Statistics (two or more topics): Bayesian statistics Generalized linear models Design of Experiments Mixture models Nonparametric regression Structural equation models Time series (state space models, ARIMA, etc.) Optimization (at least one topic): Decision analysis or multiple criteria decision making Mixed-integer optimization Nonlinear optimization Stochastic optimization Discrete-event simulation and stochastic models Econometrics/Economics (two or more topics): Difference in differences Instrumental variables Panel data Regression discontinuity design Simultaneous equations models Dynamic stochastic general equilibrium modeling Game Theory Machine learning (two or more topics): Boosting CART Clustering Graphical models Neural networks Random forests Reinforcement learning Support vector machines
Preferred Qualifications:
Experience using advanced analytics to shape high-impact strategic or enterprise-level decisions, ideally in complex or fast-moving business environments. Expertise in decision theory, system dynamics, industrial organization, or other approaches for understanding and influencing decisions in complex systems. Ability to translate sophisticated analytical methods into clear, actionable insights for leaders and non-technical partners. Experience developing data science training for business professionals. Required Education Master's degree in advanced Mathematics, Statistics, Data Science, or comparable field of study, and/or equivalent work experience Preferred Education Ph.D. degree in Statistics, Applied Mathematics, Operations Research, Econometrics, Economics, Machine Learning, or comparable field of study, and/or equivalent work experience #DisneyTech #DisneyAnalytics The hiring range for this position in Lake Buena Vista, FL is $111,900 to $150,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. 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 that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. 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, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
