**Experienced Data Analyst and AI Researcher – Disney Encounters and Items**
**Join the Magic of Disney from the Comfort of Your Own Home** Are you a data enthusiast with a passion for innovation and a love for all things Disney? Do you want to be part of a team that creates unforgettable experiences for millions of visitors every year? Look no further! We are seeking an experienced Data Analyst and AI Researcher to join our team at Disney Encounters and Items. As a Key Information Researcher, you will play a critical role in driving the creation, implementation, and maintenance of data analysis and AI (ML) models for our attractions. **About Disney Encounters and Items** Disney Encounters and Items is a leading entertainment and innovation company that has been pushing the boundaries of what is possible for over a century. Our founder, Walt Disney, was a visionary who believed in the power of innovation and creativity to make a difference in people's lives. Today, we continue to live by those values, striving to create and deliver exceptional experiences for our visitors. Our team is dedicated to making magic happen, and we're looking for talented individuals like you to join us on this journey. **Key Responsibilities** As a Data Analyst and AI Researcher, you will be responsible for: * Collaborating with internal partners to design and implement data analysis and AI (ML) models that drive business decisions and improve visitor experiences * Developing and maintaining data pipelines, data warehouses, and data visualizations to support business intelligence and data-driven decision-making * Working with cross-functional teams to identify areas where AI can be applied to solve business problems and improve operational efficiency * Leading the development and implementation of AI-powered solutions, including machine learning models, natural language processing, and computer vision * Managing the maintenance and upkeep of AI-related products and services, including data quality, model performance, and system reliability * Collaborating with data scientists, engineers, and other stakeholders to design, develop, and deploy AI-powered solutions * Communicating complex technical concepts to non-technical stakeholders and providing data-driven insights to inform business decisions **Essential Qualifications** * 2+ years of experience in Python programming and predictive modeling, including experience with TensorFlow, SparkMLib, PySpark, Light, MXNet, and other relevant libraries * 2+ years of experience in cloud platforms, including AWS and GCP * Proficiency in SDLC, QA cycles, and Agile development methodologies * Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field * Experience with data visualization tools, such as Tableau, Power BI, or D3.js * Experience with data management tools, such as Apache Spark, Hadoop, or NoSQL databases **Preferred Qualifications** * Experience with Docker, Kubernetes, and containerization * Experience with cloud-native applications and serverless computing * Experience with Atlassian tools, such as Jira and Confluence * Experience with agile development methodologies and Scrum * Experience with data representation and data validation tools, such as Splunk, Plotly, or Tableau * Experience with natural language processing and text analysis * Experience with sound analysis and audio processing **What We Offer** * A competitive salary and benefits package * Opportunities for career growth and professional development * A dynamic and collaborative work environment * The chance to work on cutting-edge projects and technologies * A comprehensive training program to help you develop your skills and expertise * A fun and supportive team culture that values innovation and creativity **How to Apply** If you're a motivated and talented individual with a passion for data analysis and AI, we want to hear from you! Please submit your application, including your resume, cover letter, and any relevant samples or projects you'd like to share. We can't wait to meet our next team member! Apply Now! Apply for this job