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Lead, Data Scientist (Deep Learning), Peacock Video Streaming Service

NBCUniversal

Isleworth

On-site

GBP 70,000 - 100,000

Full time

Yesterday
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Job summary

NBCUniversal is seeking a Lead Data Scientist for its Peacock Data Science team, focusing on developing advanced recommendation and personalization models for its video streaming service. The ideal candidate will have a strong background in statistics, machine learning, and experience with deep learning technologies, particularly in the media analytics sector.

Qualifications

  • Master's or PhD in a relevant field required.
  • Experience in advanced analytics and deep learning with TensorFlow.
  • Proficiency in Python, SQL, and PySpark is essential.

Responsibilities

  • Develop recommendation and personalization models.
  • Enhance data collection and refine data sources.
  • Collaborate with software and data architects.

Skills

Advanced analytics
Recommender systems
Deep learning
Python
SQL
PySpark

Education

Master's or PhD in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research

Tools

TensorFlow
Google Cloud Platform
AI Platform/Vertex AI
Kubeflow
Airflow

Job description

Lead, Data Scientist (Deep Learning), Peacock Video Streaming Service
  • Full-time
  • Business Segment: Media Group Functions

NBCUniversal, a leading global media and entertainment company, creates and distributes world-class content across film, television, streaming, theme parks, and consumer experiences. Our portfolio includes NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium streaming service. We are committed to community impact, diversity, and inclusion.

We are seeking a Lead Data Scientist to join the Peacock Data Science team, focusing on recommendation and personalization solutions for the Video Streaming Service.

Responsibilities include:
  • Develop recommendation and personalization models using statistical, machine learning, and data mining techniques.
  • Enhance data collection and refine data sources.
  • Communicate complex solutions effectively across organizational levels.
  • Collaborate with software and data architects to implement models into streaming architecture.
  • Innovate in statistical and machine learning methodologies and tools.
Minimum qualifications:
  • Master's or PhD in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research, or a related field.
  • Experience in advanced analytics, recommender systems, and deep learning with TensorFlow.
  • Proficiency in Python, SQL, and PySpark; Java or Scala is a plus.
  • Experience with Google Cloud Platform, AI Platform/Vertex AI, Kubeflow, and Airflow.
  • Experience working with foundation models and Generative AI technologies.
Desired characteristics:
  • Experience in media analytics and content streaming industry.
  • Knowledge of reinforcement learning and handling large datasets.
  • Familiarity with digital analytics platforms like Adobe Analytics and Google Analytics.
  • Team-oriented mindset with a willingness to learn new tools and methods.

Note: External candidates may be required to attend an in-person interview. NBCUniversal is an equal opportunity employer and provides accommodations for applicants with disabilities.

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