Decision Scientist

Disney Decision Science and Integration (DDSI) is an analytical Center of Excellence that provides internal consulting services for clients across The Walt Disney Company including Disney Experiences, Disney Entertainment, ESPN, and Corporate Finance.

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 role will work under the direction of 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.

Basic Qualifications:

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:

o 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​