Walt Disney World's Commercial Strategy organization aims to leverage data assets and quantitative techniques to uncover insights about guests and business, ultimately shaping Disney products and offerings and improving the overall Walt Disney World business through holistic models that predict and prescribe improvements.
Requirements
- Experience with SQL, Python, or R to perform data manipulation, engineering, or analysis
- Familiarity with SQL or NoSQL databases, as well as data modeling techniques/standard methodologies and practices
- Knowledge of industry leading data and analytic tools (e.g., Snowflake, Git, Sagemaker, Dataiku, Tableau)
- Ability to follow existing programming and style guidelines to maintain consistent quality of code
- Familiarity with Docker and Kubernetes
- Familiarity with Machine Learning
- Experience with using ML Frameworks, libraries, and tools, such as TensorFlow, Spark MLlib, PyTorch, scikit-learn, Keras, etc.
Responsibilities
- You will translate the business and analytic needs into data requirements to ensure you have the information you need to solve the problem, and work with technology partners to troubleshoot data quality
- You will work in a large, complex data environment, compiling and cleansing data across a variety of domains to create a foundation for your analytic work.
- You leverage data science skills to deliver mathematical models and adhoc statistical analyses.
- You will conduct end-to-end analysis that includes data collection and exploration, feature generation and reduction, and algorithm selection.
- You will determine the best techniques to use to solve problems efficiently and effectively, examining all aspects of the analytics curve across statistical, predictive, and prescriptive methods.
- You interpret outputs of analyses and models to make relevant recommendations.
- You will draw inferences, quantify uncertainty/risk, and identify limitations to accurately summarize your findings, relating them back to the problem at hand.
Other
- Ability to maintain documentation, procedures, and working instructions for the Commercial team
- Time-management skills, with ability to prioritize multiple requests and communicate status to partners/leadership
- Strong communication, interpersonal skills and fortitude to get stuff done
- Passionate about data, technology, and challenging the status quo
- Currently enrolled undergraduate student in a quantitative field (e.g., statistics, mathematics, econometrics, data science)
