Experienced Full Stack Data Scientist – Web & Cloud Application Development for Disney's Omni Channel Experience

About the Role We are seeking an experienced Full Stack Data Scientist to join our team at Disney, where you will play a critical role in driving business growth and innovation through data-driven insights. As a Senior Data Scientist, you will lead the development of predictive models, drive business decisions, and collaborate with cross-functional teams to deliver high-impact projects. About the Company The Walt Disney Company is a global leader in entertainment, media, and consumer products. With a rich history dating back to 1923, Disney has grown to become one of the world's most recognizable and beloved brands. Our company encompasses a diverse range of businesses, including: * Entertainment: Disney is a leading producer of films, TV shows, and streaming content through subsidiaries like Walt Disney Pictures, Pixar, Marvel Studios, Lucasfilm, and Disney Television Animation. * Media Networks: Disney owns and operates several prominent media networks, including ABC, ESPN, Disney Channel, and National Geographic. * Parks and Resorts: Disney operates some of the world's most iconic theme parks and resorts, including Disneyland Resort in California, Walt Disney World Resort in Florida, Disneyland Paris, and more. * Consumer Products: Disney creates and licenses a wide range of products, toys, and clothing featuring beloved characters from our franchises. * Streaming: Disney+ is our flagship streaming service, offering an extensive library of Disney, Pixar, Marvel, Star Wars, and National Geographic content. * Studio Entertainment: Disney's film studios produce blockbuster movies that often dominate the box office. * Interactive Media: Disney has a presence in the gaming industry, with studios like Disney Interactive Studios and partnerships with other game developers. About the Job As a Senior Data Scientist at Disney, you will be responsible for: * Leading the development of predictive models and data-driven insights to drive business growth and innovation * Collaborating with cross-functional teams, including examiners, specialized assistants, and business pioneers, to deliver high-impact projects * Interpreting business needs into precise product requirements to direct development * Leading design meetings, adjusting techniques to business drivers, challenges, and long-term objectives * Designing effective data pipelines to address business issues, utilizing specialized tools and retail frameworks * Setting and executing data science group best practices and leading code audits for colleagues * Creating compelling visuals, diagrams, and graphs that resonate with data, tailored to various audiences * Utilizing advanced analytical techniques (regression, AI, clustering) to drive significant insights About You We are looking for a highly skilled and experienced data scientist with: * 2+ years of experience creating examination, measurable, or AI models to extract insights and address business challenges, preferably in a retail setting * Capability in web analysis and visitor segmentation using data to drive informed decisions and improve online experiences * Experience leading small teams in rapid and accurate data analysis, feature definition, and creative problem-solving for business challenges * Ability to work on complex problems, creating data-driven stories for direction * Cloud platform/tech capability * Aptitude in AI or machine learning methods * Experience in investigating and underlying driver analysis * Success in fast-paced, changing conditions * Preferred knowledge of various project management methodologies (waterfall, agile, scrum) * Proficient relational skills for effective team and individual communication * Capability in various data technology areas: + Data pipelines and ETL tools (e.g., SQL, SSIS, Knime, Alteryx, Tableau Prep) + Database platforms including Snowflake and SQL Server + Preprocessing languages (e.g., Snowscript, JavaScript, VBA, Python) + Factual and data science languages (e.g., R, SAS, Python for Data Science) + Use of AI techniques + Experience with advanced analytics systems (e.g., regression analysis, clustering, statistical inference, hypothesis testing, p-values, causal inference, Random Forest, Boosting, Support Vector Machines, Time Series) About Working at Disney Working at Disney can offer a range of benefits and advantages, including: * Employee Perks: Disney employees often receive perks on stock, amusement park admission, and other Disney-related items and services. * Health and Wellness Benefits: Disney typically offers comprehensive health and wellness benefits, including medical, dental, and vision coverage, as well as health programs and resources. * 401(k) Retirement Plans: Many employees have access to 401(k) plans with employer matching contributions to help them save for retirement. * Paid Time Off: Disney commonly provides paid time off, including vacation days, holidays, and sick leave. * Education Assistance: Some employees may have access to education assistance programs to support their professional development and career advancement. * Employee Assistance Programs: Disney may offer employee assistance programs to provide counseling and support services for personal and professional challenges. * Career Advancement: Disney frequently provides opportunities for career advancement and progression within the company. * Employee Recognition: Disney recognizes and rewards employee contributions through various recognition programs. * Unique Work Environment: Depending on the role, Disney employees may have the opportunity to work in unique and exciting settings, such as theme parks or studios. * Innovative and Collaborative Culture: Disney fosters an innovative and collaborative work culture, empowering employees to contribute their ideas and talents to the company's projects and developments. How to Apply If you are a motivated and experienced data scientist looking to join a dynamic and innovative team, please submit your application through our website. We look forward to hearing from you! Apply for this job