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Data Scientists on the Disney Streaming Machine Learning and Innovation team develop and maintain recommendation and personalization algorithms for Disney Streamingu2019s suite of streaming video apps, notably Disney+. They specialize in applying machine learning methods to meet strategic product personalization goals, explore innovative techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. As a member of this team you will collaborate across Engineering, Product, and Data teams to better understand challenges and develop automated solutions to be built into our products.nnResponsibilities:nn tAlgorithm development and maintenance:?Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teamsn tAnalysis and Algorithm Optimization:?Perform deep dive analysis on app interactions and user profiles as they relate to algorithm output in order to drive improvements in key personalization metricsn tData Preparation:?Process, cleanse, and verify the integrity of data used for model building, experimentation evaluation, and algorithm performancen tMVP development: Develop innovative data science products to be used for new production features or downstream by production algorithmsn tDevelopment Best Practices:?Maintain existing and establish new algorithm development, testing, and deployment standardsn tCollaborate with product and business stakeholders:?Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysisnnBasic Qualifications:nn t4+ years of experience developing machine learning models and performing data analysis with Python or Rn t3+ years writing production-level, scalable code (e.g. Python, Scala)n t3+ years of experience developing algorithms for deployment to production systemsn tIn-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinningsn tIn-depth understanding of the latest in natural language processing techniques and contextualized word embedding modelsn tExperience with cloud services in a production environment (particularly AWS)n tFamiliarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.n tUnderstanding of statistical concepts (e.g., hypothesis testing, regression analysis)n tAbility to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriaten tStrong written and verbal communication skillsn tAbility to explain how models are used and algorithms behave to both technical and non-technical audiencesn

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