Senior Data Scientist - Predictive Modeling and Insights - Disney Media and Entertainment Distribution

Join the Disney Team as a Senior Data Scientist and Drive Business Growth through Data-Driven Insights Disney is seeking a highly skilled Senior Data Scientist to join the Disney Media and Entertainment Distribution (DMED) team, focusing on predictive modeling and insights. As a Senior Data Scientist, you will play a critical role in developing and improving predictive models and unified insights across Disney's TV portfolio, driving business growth and enhancing advertising sales revenue. If you're passionate about working with data, building strong relationships, and driving innovation, this is an exciting opportunity to join our team. About Disney Media and Entertainment Distribution Disney Media and Entertainment Distribution is a global leader in media and entertainment, responsible for distributing Disney's content across various platforms, including television, film, and digital media. Our team is dedicated to delivering exceptional storytelling experiences to audiences worldwide, and we're looking for talented professionals like you to help us achieve our goals. Job Summary The Senior Data Scientist will be responsible for developing and improving predictive models and unified insights across Disney's TV portfolio, focusing on viewership forecasting and advertising sales revenue growth. You will work closely with cross-functional teams, including addressable estimation groups, to drive business outcomes and enhance the company's data-driven decision-making capabilities. Key Responsibilities Predictive Modeling: Design and develop new predictive models using statistical and machine learning techniques to forecast and extend client engagement with Disney platforms across multiple KPIs. Data Quality: Interpret raw data from multiple sources into meaningful and valuable insights for data-driven decision-making, ensuring data quality and integrity. Business Insights: Build visualizations and interfaces to communicate results to business stakeholders in an easily digestible, manageable, and automated way. Leadership and Collaboration: Partner with business stakeholders and data groups to identify opportunities, improve data modeling capabilities, and drive process improvements. Process Improvement: Drive innovation by exploring new statistical methods and conceptualizing ways to enhance the current forecasting and reporting infrastructure. Operations: Apply Agile principles, participate in stand-ups, and contribute to an "Open Source" learning environment where sharing, documenting, teaching, and collaborating with others is the culture. Requirements Essential Qualifications Education: Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics). Experience: 2+ years of relevant experience in data science, predictive modeling, or a related field. Technical Skills: High proficiency in SQL and Python (e.g., pandas, numpy, scikit-learn) for data analysis. Experience with ETL, data pipeline management, and cloud infrastructure (e.g., AWS, PySpark, Snowflake, Wind current, Databricks). Experience with data visualization tools (e.g., Tableau, Power BI). Experience designing and implementing predictive models (e.g., generalized linear models, time series, decision trees). Experience working with Git. Soft Skills: Demonstrated sense of ownership and effective project ownership. Relational skills - ability to communicate technical and non-technical information to various audiences. Curiosity - enjoy digging deeper to find the bigger picture and are open to learning new technologies. Client/Customer Oriented - strong relational skills, building relationships across teams and functions to gain trust and drive business objectives. Humility - willing to contribute to the team, with a focus on helping others. Comfort with complex data and adaptability in dynamic environments. Preferred Qualifications Experience: Experience using web frameworks (e.g., Django) and JavaScript libraries (e.g., ReactJS, JQuery) to build efficient frontend and backend web applications focused on client experience. Experience implementing Docker containers. What We Offer As a Disney employee, you'll enjoy a range of benefits and perks, including: Competitive Salary: $25/hour. Remote Work Opportunities: Work from the comfort of your own home or a remote location. Career Growth Opportunities: Opportunities for professional growth and development in a dynamic and innovative environment. Learning Benefits: Access to training and development programs to help you stay up-to-date with the latest technologies and trends. Company Culture: A collaborative and inclusive work environment that values diversity, equity, and inclusion. Perks and Benefits: Comprehensive benefits package, including health insurance, retirement savings, and paid time off. How to Apply If you're excited about this opportunity and have the skills and experience we're looking for, please submit your application through our website. We can't wait to hear from you! Apply Now Conclusion As a Senior Data Scientist at Disney, you'll have the opportunity to drive business growth through data-driven insights, develop and improve predictive models, and collaborate with cross-functional teams. If you're passionate about working with data and driving innovation, we encourage you to apply for this exciting opportunity. Join our team and help us deliver exceptional storytelling experiences to audiences worldwide. Apply for this job