**Experienced Full Stack Data Entry Specialist – Entry Level, Remote Work Opportunity with Disney**

Are you a detail-oriented and tech-savvy individual looking for a challenging and rewarding career opportunity? Do you have a passion for working with data and driving business success? Look no further! We are seeking an experienced Full Stack Data Entry Specialist to join our innovative team at Disney, working remotely from the comfort of your own home. **About Us** The Walt Disney Organization is a global leader in the entertainment industry, known for its iconic movies, TV shows, and theme parks. Our company is built on a rich history of innovation, creativity, and customer satisfaction. As a Full Stack Data Entry Specialist, you will be part of our Direct to Buyer's (DTC) Information Science group, which is responsible for analyzing and interpreting vast amounts of customer data to inform business decisions and drive growth. **Job Summary** We are seeking a highly motivated and detail-oriented Full Stack Data Entry Specialist to join our team. As a key member of our Information Science group, you will work closely with cross-functional teams to analyze and interpret data, develop predictive models, and create data visualizations to inform business decisions. Your primary responsibilities will include: * Assembling and maintaining data pipelines to collect, clean, and prepare data for AI models * Creating and assessing AI models to extract insights from data, make predictions, and provide recommendations * Working with natural language processing algorithms to process and extract data from text-based information * Building dashboards and visualizations to communicate findings to technical and non-technical audiences **Responsibilities** * Assemble and maintain data pipelines to collect, clean, and prepare data for AI models * Create and assess AI models to extract insights from data, make predictions, and provide recommendations * Work with natural language processing algorithms to process and extract data from text-based information * Build dashboards and visualizations to communicate findings to technical and non-technical audiences * Collaborate with cross-functional teams to understand business needs and develop data-driven solutions * Develop and maintain data visualizations and reports to communicate insights to stakeholders * Stay up-to-date with the latest trends and technologies in data science and AI **Requirements** * Bachelor's degree in a quantitative field, such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, or Economics * At least 2 years of experience in data analysis and AI model development using Python * Strong understanding of AI concepts and statistical methods * Ability to communicate complex technical concepts to non-technical stakeholders * Experience working with machine learning libraries such as Scikit-Learn and data handling libraries like Pandas * Familiarity with SQL and distributed data systems * Knowledge of data visualization tools like Streamlit, Plotly, and Tableau **Nice to Have** * Master's or Ph.D. in a quantitative field * Experience creating and maintaining pipelines using tools like Airflow, Docker, and Luigi * Familiarity with natural language processing techniques, text embedding models, and generative AI * Experience operationalizing machine learning models in a business setting **What We Offer** * Competitive salary of $26/hour * Opportunity to work with a global leader in the entertainment industry * Flexible remote work arrangement * Collaborative and dynamic work environment * Opportunities for professional growth and development * Comprehensive benefits package, including health insurance, retirement plan, and paid time off **How to Apply** If you are a motivated and detail-oriented individual with a passion for data analysis and AI, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the position. We look forward to hearing from you! Apply To This Job Apply for this job