**Experienced Full Stack Data Analyst – AI and Machine Learning Model Development for Disney Encounters**

About Disney Encounters and Items Disney Encounters and Items is a pioneering entertainment and innovation company that embodies the spirit of Walt Disney's relentless pursuit of innovation and excellence. Our mission is to create and deliver extraordinary experiences for our visitors, and we're constantly seeking better ways to enhance these experiences. As a Key Information Researcher in our team, you'll play a vital role in shaping the future of our attractions by developing and implementing cutting-edge AI and machine learning models. About the Role We're seeking an experienced Full Stack Data Analyst to join our team and contribute to the development of AI and machine learning models for our attractions. As a key member of our team, you'll work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across Disney Encounters (DX). You'll report to Attractions Functional Innovation and have the opportunity to work from the comfort of your own home. Key Responsibilities * Collaborate with colleagues and stakeholders to drive the development of AI and machine learning models, identifying areas where business challenges can be addressed creatively by applying machine learning techniques. * Lead and work with cross-functional teams of data scientists and engineers to design, implement, and scale machine learning solutions that deliver magical experiences for our visitors and push the boundaries of functional objectives. * Drive innovation, idea validation, and proof-of-concept development, working with clients to grow top-tier AI platforms. * Manage functional support and maintenance of ML-related products and services delivered by the team. * Develop standard techniques used in everyday tasks and work with specialty units to plan, design, and execute large-scale projects in the AI space. * Productionize machine learning models in predictive analytics, clustering, image recognition, NLP, anomaly detection, and more, and assess their performance on real-world datasets. * Collaborate with cross-functional teams to achieve goals in improving system performance, coordinating with existing software practices that produce efficient code, including automated testing, continuous integration, code style consistency, and code reviews. Required Capabilities and Abilities * 2+ years of experience in Python and predictive modeling, including TensorFlow, SparkMLib, PySpark, Light, MXNet, and more. * 2+ years of experience in cloud platforms like AWS and GCP. * Proficiency in SDLC, QA cycles, and Agile programming methodologies. * Master's-level experience in structured and unstructured data (i.e., images, video, text, etc.) and SQL social and non-social datasets. * 2+ years of experience with Windstream or another data workflow management tool. * Experience with version control software, like GitHub and GitLab, Model Operations, and CI/CD pipelines. * Experience in driving discovery processes with partners to identify business requirements and desired outcomes, and a strong ability to communicate effectively and make decisions. * Strong systems integration engineering skills, with the ability to transform new technology into business solutions. Favored Capabilities * Experience with Docker. * Experience with control frameworks. * Experience with Kubernetes. * Experience with cloud platforms in GCP or another cloud platform. * Experience with Atlassian tools like Jira and Confluence. * Experience with Agile development techniques. * Experience with automated testing, continuous integration, and continuous deployment. * Experience with data visualization and data validation tools (e.g., Splunk, Plotly, Tableau). * Experience with audio analysis. * Experience with text analysis. Education * Bachelor's or Master's degree in Computer Science, Information Science, Mathematics, Statistics, Software Engineering, or a related technical field. * Preferred: Ph.D. in Computer Science, Information Science, Mathematics, Statistics, Software Engineering, or a related technical field. What We Offer * A dynamic and innovative work environment that encourages creativity and collaboration. * Opportunities for career growth and professional development in a rapidly evolving industry. * A comprehensive benefits package, including health insurance, retirement savings, and paid time off. * A competitive salary and bonus structure. * The chance to work on cutting-edge projects and contribute to the development of AI and machine learning models that shape the future of our attractions. How to Apply If you're passionate about data analysis, machine learning, and innovation, and you're looking for a challenging and rewarding role in a dynamic and fast-paced environment, we encourage you to apply. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply for this job