Data Scientist

Data Scientist (Commercial Strategy)

Do you love the art of using data to solve complex business problems? We do too – and would be excited to have you join our team at Walt Disney World!

Our mission as part of the Commercial Strategy organization is to put our data assets to work, and apply quantitative techniques to discover previously unknown insights about our guests and business. We work directly with major decision-makers, shaping the Disney experience. Our insights help form and improve Disney products and offerings.

As an individual contributor, reporting to the Manager of Data Science, you will oversee the creation of complex modeling/tool development, special projects and deep-dive analytics supporting the Commercial organization, specializing in the optimization of Merchandise and Food & Beverage pricing and revenue management.

Position Responsibilities

While each day will be different, with rotating priorities, the main themes for this role include being a(n):

• Data Wrangler: You understand data and how it supports solving business problems.
• Analytics Creator: You use data science skills to deliver mathematical models and ad-hoc statistical analyses.
• Insights Translator: You interpret outputs of analyses and models to make relevant recommendations.
• Pursue Innovation: You always challenge the status-quo.
• Collaborate: Team up with other data experts.

Basic Qualifications

You will have…

• Knowledge of data science/advanced analytic concepts (e.g., hypothesis testing, regression, clustering)
• 1+ years of experience developing presentations and reports using quantitative information for non-technical partners
• Proficiency in at least one programming language such as R or Python
• 1+ years of experience with relational databases and SQL programming
• Knowledge of industry-leading data and analytic tools (e.g., Snowflake, Sagemaker, Dataiku, Tableau, Plotly)
• An understanding of microeconomics including elasticity
• Familiarity with automated deployment, AWS infrastructure, Docker, or similar containers

Required Education

Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)

Flex Type

This role is considered hybrid, which means you will work a portion of their time on-site from a Company designated location and the remainder of their time remotely.