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The Walt Disney Company: Be Part of the Story

Be Part of the Story

Data Scientist, Disney+ Personalization

ID de la posición 762697BR Ubicación Nueva York, Nueva York, Estados Unidos Business Disney Streaming Services Fecha de publicación Jul. 01, 2020

Detalles del empleo:

Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world.

The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups.

DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment.

Data Scientists in the Disney+ Personalization team 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 Data, Product and Engineering teams to deeply understand challenges and develop automated solutions to be built into our products.

Responsabilidades:

  • Model creation and algorithm development: Create models from available data sources (e.g., metadata, behavioral, explicit, etc.) to advance and optimize personalized recommendations. Use state-of-the-art machine learning and deep learning methods to develop algorithms using these models to score and predict the optimal mix of content at the most granular user levels.
  • Data Preparation: Process, cleanse and verify the integrity of data used for model building, experimentation evaluation and algorithm performance
  • Analysis: Perform deep dive analysis on app interactions and events to better understand user consumption behavior as it relates to personalization and recommendation.
  • Partnership: Collaborate with business stakeholders to help identify and define personalization opportunities. Work with other data teams to improve our data collection, experimentation and analysis.

Experiencia laboral requerida:

  • 5+ years of analytical experience
  • 3+ years of work experience using SQL
  • 3+ years writing production-level, scalable code (Python/Scala/C++)
  • Experience with Python/R or other statistical programming languages
  • Experience with cloud services (particularly AWS)
  • Experience with advanced data modeling and predictive analytics
  • In-depth understanding of modern machine learning (including deep learning, reinforcement learning) models and their mathematical underpinnings
  • Experience with deep learning, NLP, Neural Networks, and/or Bayesian modeling
  • Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
  • Understanding of statistics concepts (e.g., hypothesis testing, regression analysis)
  • Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick effective solutions as appropriate
  • Strong communication skills, as well as written and verbal presentation skills
  • Explain how models are used and algorithms behave to both technical and non-technical audiences

Experiencia deseada:

  • Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, regression testing, testing and deployment
  • Experience with graph-based data workflows such as Apache Airflow
  • Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks
  • Familiar with metadata management, data lineage, and principles of data governance
  • Experience loading and querying cloud-hosted databases such as Snowflake
  • Familiarity with automated deployment, AWS infrastructure, Docker or similar containers

Acerca de Disney Streaming Services:

Disney Streaming Services es responsable de desarrollar y operar los negocios de videos directos al consumidor de The Walt Disney Company a nivel global, incluidos el servicio de reproducción de deportes prémium ESPN+; el futuro servicio de Disney de suscripción de video y BAMTECH Media, líder global en soluciones y productos de reproducción de video directo al consumidor. Nuestra misión principal es ofrecer a las audiencias globales la libertad de acceder a contenido según sus términos en cualquier dispositivo conectado, horario o lugar. Brindamos servicio a los consumidores al llevar los personajes más queridos del mundo, las historias eternas, los atletas legendarios y los eventos deportivos épicos al público global a través de los mejores servicios de video directo al consumidor en su clase. Nos esforzamos diariamente para desafiar las convenciones por medio de la imaginación con tecnología innovadora que les da a los consumidores la libertad de acceder a contenido según sus términos en cualquier dispositivo conectado, horario o lugar.

Acerca de The Walt Disney Company:

The Walt Disney Company, junto con sus subsidiarias y afiliadas, es una compañía líder que brinda diversos servicios de entretenimiento y medios para toda la familia a nivel mundial que opera en los siguientes sectores: redes de medios de comunicación, parques y complejos, estudios de entretenimiento, productos para el consumidor y medios interactivos. Desde su humilde origen como un estudio de dibujos animados en la década de 1920 hasta su preeminente posición actual en la industria del entretenimiento, Disney ha mantenido con orgullo su legado de crear historias y experiencias de primer nivel para cada miembro de la familia. Las historias, los personajes y las experiencias de Disney atraen a consumidores y visitantes de todas partes del mundo. Operamos en más de 40 países y nuestros empleados y Cast Member trabajan juntos para crear experiencias de entretenimiento que son apreciadas por el público local e internacional.

Este puesto es en Disney Streaming Services LLC , que forma parte de un segmento comercial que denominamos Disney Streaming Services.

Disney Streaming Services LLC es un empleador que ofrece igualdad de oportunidades. Los solicitantes recibirán consideración para el empleo sin distinción de raza, color, religión, sexo, origen nacional, orientación sexual, identidad de género, discapacidad o condición de veterano protegido. Disney fomenta una cultura empresarial donde las ideas y decisiones de todas las personas nos ayudan a crecer, innovar, crear las mejores historias y ser relevantes en un mundo que cambia rápidamente.

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