Lead, Data Scientist , Peacock Video Streaming Service

Job Description

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

Job Description
As part of the Peacock Data Science team, the Lead Data Scientist will be responsible for creating recommendation and personalization solutions for one or more verticals of Peacock Video Streaming Service.
Responsibilities include, but are not limited to:
• Work with a group of data scientists in the development of recommendation and personalization models using statistical, machine learning and data mining methodologies.
• Drive the collection and manipulation of new data and the refinement of existing data sources.
• Translate complex problems and solutions to all levels of the organization.
• Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.
• Drive innovation of the statistical and machine learning methodologies and tools used by the team.
Qualifications
• Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
• 4+ years of combined experience in advanced analytics in industry or research.
• Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
• Working experience with deep learning and graph methodologies in machine learning. Strong experience with deep learning using TensorFlow.
• Experience implementing scalable, distributed, and highly available systems using Google Could Platform.
• Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.
• Proficient in Python. Java or Scala is a plus.
• Experience in data processing using SQL and PySpark.
• Experience working with foundation models and other GenAI technologies

Desired Characteristics:
• Experience in media analytics and application of data science to the content streaming and TV industry.
• Good understanding of reinforcement learning algorithms.
• Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineering
• Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
• Experience with large-scale video assets
• Team oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools

Jobcode: Reference SBJ-rjbb9w-18-117-146-157-42 in your application.