Lead Data Scientist - Machine Learning & Statistical Analysis Expert for Disney's Direct-to-Consumer Streaming Services

Join the Disney Team as a Lead Data Scientist and Revolutionize the Future of Streaming Services Are you a highly skilled data scientist with a passion for machine learning, statistical analysis, and data visualization? Do you want to be part of a dynamic team that is shaping the future of streaming services? Look no further! Disney's Direct-to-Consumer (DTC) team is seeking an experienced Lead Data Scientist to join our team of experts in data science, and help us drive business growth and user engagement across our streaming platforms, including Hulu, Disney+, and ESPN+. About Disney's Direct-to-Consumer Team Disney's Direct-to-Consumer team is at the forefront of the streaming industry, overseeing the Hulu and Disney+ streaming businesses within Disney Entertainment. Our team is dedicated to bringing The Walt Disney Company's best-in-class storytelling to fans and families everywhere. We leverage deep data analysis and research to present a compelling vision around user retention and preferences across our vast ecosystem of product offerings and content. Our Mission As Data Scientists, we use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Our goal is to build scalable and iterative capabilities that drive business growth, improve user engagement, and enhance the overall user experience. Key Responsibilities As a Lead Data Scientist, you will play a critical role in driving business growth and user engagement across our streaming platforms. Your key responsibilities will include: Modeling: Apply state-of-the-art machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization. Deep Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create a common understanding of how people are interacting with our services and content. Visualization of Insights: Develop prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture. What We Are Looking For To be successful in this role, you will need to have: Essential Qualifications Bachelor's Degree: Advanced Mathematics, Statistics, Data Science, or a comparable field of study, and/or equivalent work experience. Experience: 7+ years of related experience with developing machine learning models and conducting statistical analysis. Machine Learning Concepts: Deep understanding of machine learning concepts and statistical methods. Data Analysis: Ability to draw insights and conclusions from data to inform model development and business decisions. Collaboration: Desire to collaborate with other data scientists, data analysts, and key business partners. Technical Skills: Proficient in analyzing data and developing ML models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.). Programming: Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.). SQL and Distributed Data Technologies: Understanding of SQL and distributed data technologies (Hive, Spark). Preferred Qualifications Advanced Degree: MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics, or a related quantitative field (e.g., Econometrics, Mathematics, Operations Research). Bayesian Modeling: Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC. Operationalizing ML Models: Experience fully integrating data science solutions into the business and operationalizing ML models. Career Growth Opportunities and Learning Benefits As a Lead Data Scientist at Disney, you will have access to: Professional Development: Opportunities for professional growth and development in a rapidly evolving field. Collaborative Environment: A dynamic and collaborative work environment with a team of experts in data science. Cutting-Edge Technologies: Access to cutting-edge technologies and tools in machine learning, statistical analysis, and data visualization. Recognition and Rewards: Opportunities for recognition and rewards for outstanding performance and contributions to the team. Work Environment and Company Culture At Disney, we pride ourselves on a culture that values: Innovation: Encouraging innovation and creativity in everything we do. Collaboration: Fostering a collaborative and inclusive work environment. Diversity: Celebrating diversity and promoting equality in all aspects of our business. Fun: Having fun and enjoying the work we do! Compensation, Perks, and Benefits We offer a competitive compensation package, including: Salary: A competitive salary range of $149,300-$200,200 per year, depending on experience and location. Bonus and Long-Term Incentive Units: A bonus and/or long-term incentive units may be provided as part of the compensation package. Medical, Financial, and Other Benefits: A full range of medical, financial, and other benefits, dependent on the level and position offered. Conclusion If you are a motivated and experienced data scientist with a passion for machine learning, statistical analysis, and data visualization, we encourage you to apply for this exciting opportunity as a Lead Data Scientist at Disney's Direct-to-Consumer team. Join our team of experts and help shape the future of streaming services! Apply for this job