Data Scientist

Job Posting Title: Data Scientist Req ID: 10147956

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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

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. o Translate business needs into curated datasets o Develop data pipelines to keep analysis up-to-date · Analytics Creator: You use data science skills to deliver mathematical models and ad-hoc statistical analyses. o Uncover insights, test hypothesis, and identify the (possible) WHY o Develop repeatable models that evolve with the data · Insights Translator: You interpret outputs of analyses and models to make relevant recommendations. o Distill analysis into quickly understood Indicators o Paint a picture with data using data visualization tools · Pursue Innovation: You always challenge the status-quo o Research current data engineering, analytical solutions, capabilities, and technologies o Seek improvement to current methods · Collaborate: Team up with other data experts o Work with business partners to identify and unlock opportunities o Automate workflows and analysis to ensure faster business decisions o Work with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture