Data Scientist

The Walt Disney Company • Vista, FL

1d • Hybrid

About The Position

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.

Requirements

• 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)
• A understanding of microeconomics including elasticity
• Familiarity with automated deployment, AWS infrastructure, Docker, or similar containers
• Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)

Responsibilities

• Translate business needs into curated datasets
• Develop data pipelines to keep analysis up-to-date
• Uncover insights, test hypothesis, and identify the (possible) WHY
• Develop repeatable models that evolve with the data
• Distill analysis into quickly understood Indicators
• Paint a picture with data using data visualization tools
• Research current data engineering, analytical solutions, capabilities, and technologies
• Seek improvement to current methods
• Work with business partners to identify and unlock opportunities
• Automate workflows and analysis to ensure faster business decisions
• Work with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture

Benefits

• A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level