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 to work and apply quantitative techniques to discover previously unknown insights about our Guests and business.
We get to work directly with the major decision-makers at Disney who shape the Walt Disney World experience. Through our insights, we help form and improve Disney products and offerings.
The Data Scientist reports to the Lead Data Science and is an individual contributor role.
Responsibilities/You Will
- Pursue innovation: Research current data engineering, analytical solutions, capabilities, and technologies and translate that research into usable and sustainable solutions for users
- Put your skills to the test: Perform data collection, data mining, build data science frameworks and tools
- Development best practices: Apply software engineering best practices to analytics code (ex: version control, testing, documentation, continuous integration, and continuous deployment)
- Collaborate with product and business stakeholders: Partner with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture.
Basic Qualifications/You Will Have
- 3+ years of experience with a programming language for data science like Python, Java, etc.
- Experience with SQL and using databases
- Experience developing practical machine learning solutions
- Desire to collaborate with other data scientists, data engineers, analysts, and business partners
- Experience explaining how models are used and algorithms behave to both technical and non-technical audiences
- Experience gauging the complexity of machine learning problems and a willingness to implement simple approaches for quick, effective solutions
Preferred Qualifications
- Master's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
- Strong expertise with Python and libraries such as scikit-learn and SciPy
- Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, regression testing, testing, and deployment
- 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)
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.
Benefits: Medical/dental/vision insurance, 401(k) employer match, and educational reimbursement.
Walt Disney Parks and Resorts U.S., Inc. is an equal opportunity employer. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changi