Decision Scientist - Course Developer/Instructor
$111,900 to $150,000 per year
ApplyDecision Scientist - Course Developer/Instructor
Posted 16 days ago
SENIORITY
Senior
SALARY
$111,900 to $150,000 per year
About the role
- 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.
- 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):BoostingCARTClusteringGraphical models
- Neural networks
- Random forests
- Reinforcement learning
- Support vector machines
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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