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VP, Recommendation Science and Media Group Decision Sciences

2 months ago

New York, New York, United States NBCUniversal Full time
Job Description

Company Overview

NBCUniversal is a leading media and entertainment company that creates and distributes world-class content across its portfolio of film, television, and streaming platforms. We are committed to fostering a diverse, equitable, and inclusive culture where our employees feel supported, embraced, and heard.

Job Summary

We are seeking a highly experienced and strategic leader to join our Media Group Data Science team as VP, Recommendation Science. This individual will be responsible for providing leadership and mentorship to a team of data scientists in the design and execution of advanced personalization models and heuristics. The successful candidate will have a strong background in data science, machine learning, and recommendation systems, with a proven track record of delivering industry-defining personalization solutions.

Key Responsibilities

  • Lead the development of a recommendation system modeling and experimentation framework
  • Collaborate with business stakeholders to define priorities, best approaches, and business requirements for analytical and experimentation solutions
  • Work with engineering teams to define data science-driven requirements and solutions for major initiatives and opportunities
  • Drive innovation of statistical and machine learning methodologies and tools used by the team
  • Lead improvements in machine learning lifecycle infrastructure
  • Drive a data science culture that inspires and motivates the team to succeed

Requirements

  • Advanced degree (Master or PhD) with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research, or another quantitative field
  • Minimum 10 years of combined experience in software development, analytics, or data science
  • Experience with commercial recommender systems or a lead role in an advanced research recommender system project
  • Demonstrable experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems
  • Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models
  • Proven ownership and entrepreneurship enabling and leading high-performing cross-functional experimentation programs
  • Proficiency in Python

Desired Characteristics

  • Experience in content streaming or commerce as a senior contributor to AI/ML-powered product features and user experiences
  • Experience with reinforcement learning-based systems
  • Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
  • Experience with large-scale video assets
  • Ability to build trust across the organization and socialize solutions and identified data insights
  • Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software provider