Senior Data Scientist (Machine Learning/Control Systems)
Job Description
Walt Disney Parks and Resorts is seeking a Senior Data Scientist to join their innovative team focused on machine learning and control systems. This role combines the magic of Disney with cutting-edge technology, where you'll lead the delivery and deployment of machine learning models supporting predictive maintenance across attractions.
The position offers an exciting opportunity to work with Disney Experiences (DX), a world-class entertainment and technology leader. You'll be part of a team that continues Walt's passion for innovation and pushing boundaries, working to enhance exciting experiences for guests through data-driven solutions.
As a Senior Data Scientist, you'll be responsible for designing and implementing robust ML pipelines, collaborating with cross-functional teams, and deploying models in production environments. The role requires expertise in Python, deep learning algorithms, and MLOps practices, with a focus on creating scalable solutions that drive real-world impact.
The ideal candidate brings 5+ years of data analytics experience and 3+ years of hands-on ML deployment experience. You'll work with modern tools including TensorFlow/PyTorch, cloud platforms, and containerization technologies. Your role will be crucial in optimizing attraction performance through predictive maintenance, directly contributing to guest experiences.
Working remotely, you'll join a collaborative environment that values innovation and technical excellence. The position offers competitive compensation ($132,200-$177,300) plus comprehensive benefits including medical, dental, vision, and potential bonuses/long-term incentives. This is a unique opportunity to combine technical expertise with creative entertainment, making a direct impact on how millions of guests experience Disney magic.
Responsibilities For Senior Data Scientist (Machine Learning/Control Systems)
- Design and implement robust, end-to-end machine learning pipelines
- Collaborate with data scientists and ML engineers to optimize model performance
- Deploy and monitor models in production using MLOps tools
- Analyze system performance and troubleshoot deployment issues
- Partner with IT and DevOps teams to integrate ML solutions
- Continuously monitor model health and performance
- Manage compute and storage resources efficiently
- Implement automated testing frameworks
- Mentor team members on MLOps tools and best practices
Requirements For Senior Data Scientist (Machine Learning/Control Systems)
- Minimum of 5 years of experience with data analytics and modeling using TensorFlow or PyTorch
- Minimum of 3 years of hands-on experience deploying ML models into production environments
- Proven experience with cloud-based ML platforms
- Strong understanding of the model development lifecycle and MLOps practices
- Proficiency in Python and deep learning algorithms
- Experience with version control systems
- Familiarity with data visualization and monitoring tools
- Experience using Atlassian tools like Jira and Confluence
- Bachelor's degree in Mathematics, Statistics, Data Science, or related field
Benefits For Senior Data Scientist (Machine Learning/Control Systems)
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Bonus
- Long-term incentives
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