Sr Machine Learning Engineer

1 Week ago • 5 Years + • Data Analyst • Undisclosed

About the job

Job Description

As a Senior Machine Learning Engineer at Disney Experiences, you'll leverage advanced data analysis, modeling, and experimentation to drive strategic decision-making for attractions. You'll develop and deploy predictive models, conduct A/B testing, and collaborate with business partners to translate insights into actionable recommendations. Responsibilities include forecasting trends, optimizing business processes, and ensuring models remain relevant and effective. This role demands expertise in various ML tools and cloud platforms, and proficiency in Python, SQL, and data visualization.
Must have:
  • 5+ years data analytics & modeling experience
  • 3+ years cloud provider experience
  • 3+ years predictive modeling experience
  • Proficiency in Python, SQL
  • Experience with Model Ops
  • Data visualization & monitoring skills
Good to have:
  • Knowledge of Software Development Life Cycle
  • Experience with Docker & Kubernetes
  • Airflow or data workflow management experience
  • CI/CD pipeline setup experience
  • Master's degree in relevant field
Perks:
  • Health and savings benefits
  • Educational opportunities
  • Disney-specific extras

Job Summary:

About the Role & Team

We create happiness.” That’s our motto at Walt Disney Parks and Resorts, and it permeates everything we do. At Disney, you’ll help encourage that magic by enabling our company to push the limits and build the never-before-seen! Are you ready to join this team and make an impact?

Disney Experiences (DX) is a world-class entertainment and technology leader. Walt’s passion was to innovate continuously and push the boundaries of what is possible, which remains central in our business today. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences, and we’re constantly looking for new ways to enhance these exciting experiences for our guests. A Sr. Data Scientist in this group will help guide the creation, installation, and support of the data analysis and development of machine learning models for our attractions. We work closely with internal partners to deliver world-class guest experiences with interactive & data systems across DX. You will be reporting to the Attractions Operational Technology organization.

This is a full-time role.

What You Will Do

  • Conducting advanced data analysis, modeling, and experimentation to derive actionable insights and drive strategic decision-making.

  • Staying ahead of the latest advancements in data science techniques, tools, and technologies and applying them to solve complex problems optimally.

  • Developing and deploying predictive models to forecast future trends, behavior, or outcomes based on historical data in the attraction space.

  • Evaluating model performance and refining algorithms to improve accuracy, reliability, and scalability.

  • Designing and implementing A/B tests or other experiments to validate model predictions and optimize business processes.

  • Collaborating with business partners to translate predictive insights into actionable recommendations and strategic initiatives.

  • Regularly supervising and updating predictive models ensure they remain relevant and effective in dynamic business environments.

Required Qualifications & Skills

  • 5+ year experience with data analytics and modeling tools (i.e., keras, tensor flow, torch, pytorch, sklearn, ml-lib, etc.).

  • 3+ year experience with a cloud provider using development and deployment techniques (i.e., AWS Sagemaker, GCP Vertex AI, Databricks, …).

  • 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.

Preferred Qualifications

  • Knowledge of Software Development Life cycle and QA processes.

  • Experience with Docker.

  • Experience and setting up CI/CD pipelines.

  • Experience in Airflow or another data workflow management tool.

  • Experience with Kubernetes.

  • Knowledge of Object-Oriented Software Design Patterns.

Education

  • Bachelor of Science in Data Science, Statistics, Computer Engineering, Computer Science, or equivalent technical background

  • PREFERRED: Master of Science in Data Science, Statistics, Computer Engineering, Computer Science, or equivalent technical background

Additional Information

Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at .

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About The Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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