Experienced Full Stack Data Scientist – Machine Learning & AI Solutions for Disney Parks and Experiences

Join the Magic of Disney: Transforming Guest Experiences through Data Science and AI Disney Parks, Experiences and Consumer Products is a leader in innovative entertainment and technology, driven by a passion to create and deliver extraordinary experiences. Our team is dedicated to harnessing the power of data and artificial intelligence (AI) to craft unforgettable moments for our guests. As a Key Information Researcher, you will play a pivotal role in developing, implementing, and supporting data analytics and machine learning (ML) models that bring our attractions to life. If you're a data science enthusiast with a love for Disney, we invite you to join our team remotely and be part of a dynamic group that's shaping the future of guest experiences. About Disney Parks, Experiences and Consumer Products Walt Disney's vision was to continuously innovate and push the boundaries of what's possible. Today, we're committed to creating and delivering extraordinary experiences that exceed our guests' expectations. Our team works closely with internal partners to design and implement cutting-edge visitor experiences, leveraging interactive and data systems across Disney Experiences (DX). As a Key Information Researcher, you will report to Attractions Functional Technology and contribute to the development of AI-powered solutions that make our attractions more magical. Key Responsibilities Collaborate and Lead Cross-Functional Teams : Foster and develop relationships with colleagues, provide thought leadership, and drive initiatives to successful outcomes. Engage with research partners and stakeholders to identify areas where business problems can be solved creatively through ML. Develop and Implement ML Solutions : Lead and work with various engineers and data scientists to design, implement, and scale ML solutions that create magical experiences for our guests and push operational boundaries. Drive Innovation and Proof-of-Concepts : Conduct research, develop proofs-of-concept, and drive technology roadmaps and client interactions that lead to the development of top-tier AI platforms. Manage Operational Support and Maintenance : Oversee the functional support and maintenance of ML-related products and services delivered by the team. Establish Standard Operating Procedures : Develop standard methods used in daily operations and work with specialty units to plan, design, and execute large-scale projects in the AI space. Productionize ML Algorithms : Deploy ML algorithms in predictive analytics, classification, image recognition, NLP, anomaly detection, and more, and evaluate their performance on real-world datasets. Collaborate with Cross-Functional Teams : Work with various teams to achieve goals in improving infrastructure performance, and coordinate with existing software practices that produce effective code, including automated testing, continuous integration, code style consistency, and code reviews. Essential Qualifications and Skills Python and Predictive Modeling : 2+ years of experience with Python and predictive modeling, including TensorFlow, SparkMLib, PySpark, Light, MXNet, and more. Cloud Platforms : 2+ years of experience with cloud platforms like AWS and GCP. SDLC, QA Cycles, and OOP : Proficiency in SDLC, QA cycles, and Object-Oriented Programming (OOP) design patterns. Data Management : Experience with structured and unstructured data (e.g., images, video, text, etc.) and SQL relational and non-relational databases. Data Workflow Management : 2+ years of experience with Windstream or another data workflow management tool. Version Control and CI/CD : Experience with version control software like GitHub and GitLab, Model Operations, and CI/CD pipelines. Communication and Collaboration : Ability to drive discovery processes with partners to identify business requirements and expected outcomes, with strong interpersonal skills and determination to complete tasks. System Integration and Architecture : Strong system integration and architecture skills, with the ability to transform new technology into business solutions. Preferred Qualifications Docker : Experience with Docker. Control Frameworks : Experience with control frameworks. Kubernetes : Experience with Kubernetes. Cloud Solutions : Experience with cloud solutions in GCP or another cloud platform. Atlassian Tools : Experience with Atlassian tools like Jira and Confluence. Agile Development : Experience with Agile development methodologies. Automated Testing and Continuous Development : Experience with automated testing, continuous integration, and continuous development. Data Visualization and Monitoring : Experience with data visualization and monitoring tools (e.g., Splunk, Plotly, Tableau). Audio and Text Analysis : Experience with audio analysis and text analysis. Education Bachelor's Degree : Master's of Science in Data Science, Statistics, Computer Science, Computer Engineering, or a related technical field. Ph.D. : Preferred: Ph.D. in Data Science, Statistics, Computer Science, Computer Engineering, or a related technical field. What We Offer As a Disney team member, you'll enjoy a range of benefits, including: Competitive Compensation : A comprehensive compensation package that recognizes your skills and experience. Opportunities for Growth : Professional development opportunities, including training, mentorship, and career advancement. Flexible Work Arrangements : The ability to work remotely and maintain a healthy work-life balance. Disney Perks : Access to exclusive Disney events, discounts, and experiences. Comprehensive Benefits : A comprehensive benefits package, including medical, dental, and vision coverage. Why Join Us? As a Key Information Researcher at Disney, you'll have the opportunity to: Make a Difference : Contribute to the development of AI-powered solutions that create magical experiences for our guests. Work with a Talented Team : Collaborate with a diverse team of data scientists, engineers, and researchers who share your passion for innovation. Grow Your Career : Develop your skills and expertise in a rapidly growing field, with opportunities for career advancement. Be Part of a Legendary Company : Join a company with a rich history and a commitment to creating unforgettable experiences. How to Apply If you're excited about the opportunity to join our team, please submit your application, including your resume and a cover letter, through our website. We can't wait to hear from you! Apply for this job