Sr Machine Learning Engineer

About the position

At Walt Disney Parks and Resorts, we create happiness, and that motto permeates everything we do. As a Sr. Data Scientist in the Disney Experiences (DX) team, you will play a crucial role in guiding the creation, installation, and support of data analysis and machine learning models for our attractions. This full-time position involves collaborating with internal partners to enhance guest experiences through interactive and data systems. You will report to the Attractions Operational Technology organization and be part of a team that continuously innovates and pushes the boundaries of what is possible in entertainment and technology.

Responsibilities

• Conduct advanced data analysis, modeling, and experimentation to derive actionable insights and drive strategic decision-making.
• Stay ahead of the latest advancements in data science techniques, tools, and technologies and apply them to solve complex problems optimally.
• Develop and deploy predictive models to forecast future trends, behavior, or outcomes based on historical data in the attraction space.
• Evaluate model performance and refine algorithms to improve accuracy, reliability, and scalability.
• Design and implement A/B tests or other experiments to validate model predictions and optimize business processes.
• Collaborate with business partners to translate predictive insights into actionable recommendations and strategic initiatives.
• Regularly supervise and update predictive models to ensure they remain relevant and effective in dynamic business environments.

Requirements

• 5+ years experience with data analytics and modeling tools (i.e., keras, tensor flow, torch, pytorch, sklearn, ml-lib, etc.).
• 3+ years experience with a cloud provider using development and deployment techniques (i.e., AWS Sagemaker, GCP Vertex AI, Databricks, etc.).
• 3+ years of predictive modeling experience.
• Experience with Python, R, or Scala.
• Experience with revision control software, such as GitHub and GitLab.
• Experience with Model Ops (model development life cycle).
• Experience with both structured and unstructured data.
• Experience with complex projects.
• Ability to explain technical solutions and results in simple terms.
• Experience with data visualization and data monitoring tools (e.g. Splunk, Plotly, Tableau).
• Experience with cloud deployments in GCP or another cloud platform.
• Experience with SQL databases and complex queries.
• Experience with Atlassian Tools such as Jira & Confluence.
• Experience with Agile development methods.
• Experience with automated testing, continuous integration, and continuous development.

Nice-to-haves

• Knowledge of Software Development Life cycle and QA processes.
• Experience with Docker.
• Experience in setting up CI/CD pipelines.
• Experience in Airflow or another data workflow management tool.
• Experience with Kubernetes.
• Knowledge of Object-Oriented Software Design Patterns.

Benefits

• Health and savings benefits
• Educational opportunities
• Special extras that only Disney can provide