Disneyland Hong Kong
Data scientists at Disney Direct-To-Consumer are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide.
As a senior data scientist in the Retention and Engagement Modeling Intelligence Data Science team, you will be partnering closely with the Marketing, Subscriber Analytics, Commerce Product, and Engineering teams to develop models for tackling a multitude of exciting challenges, including churn and upgrade prediction, plan recommendation, discount optimization, signups and subscriber forecasting, causal inference, anomaly detection and much more!
We are looking for someone with deep analytical and modeling expertise, a proven track record of thought leadership, and eagerness to drive impact.
Responsibilities
Modeling : Design, build, deploy, and improve machine learning pipelines. Work end to end from data collection, feature generation and selection, algorithm development and tuning, visualization and monitoring of model results, and productionalization of pipelines. Complex analysis & Visualization : Develop comprehensive understanding of subscriber, playback, and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. 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. Basic Qualifications
Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study 5+ years of experience designing, building, and evaluating practical machine learning solutions Strong coding experience in one (or more) data programming languages, including Python Strong background in statistical & machine learning modeling 5+ years experience with databases and data pulling tools (SQL, Hive) Experience with version control tools such as git Willingness to adapt in fast-paced and quickly growing work environment Preferred Qualifications
Master’s or Ph.D in Applied Mathematics, Computer Science, Statistics, Economics or related degree Experience deploying data science pipelines at-scale in a production environment Familiarity with MLOps best practices Excellent analytical skills, advanced level of statistics knowledge The hiring range for this position in New York, NY is $145,500 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. Disability Accommodation for Employment Applications
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities.
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Modeling : Design, build, deploy, and improve machine learning pipelines. Work end to end from data collection, feature generation and selection, algorithm development and tuning, visualization and monitoring of model results, and productionalization of pipelines. Complex analysis & Visualization : Develop comprehensive understanding of subscriber, playback, and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. 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. Basic Qualifications
Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study 5+ years of experience designing, building, and evaluating practical machine learning solutions Strong coding experience in one (or more) data programming languages, including Python Strong background in statistical & machine learning modeling 5+ years experience with databases and data pulling tools (SQL, Hive) Experience with version control tools such as git Willingness to adapt in fast-paced and quickly growing work environment Preferred Qualifications
Master’s or Ph.D in Applied Mathematics, Computer Science, Statistics, Economics or related degree Experience deploying data science pipelines at-scale in a production environment Familiarity with MLOps best practices Excellent analytical skills, advanced level of statistics knowledge The hiring range for this position in New York, NY is $145,500 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. Disability Accommodation for Employment Applications
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities.
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