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Director, Recommendation Science - Remote

Posted 7 weeks ago
Data Analysis
Full Time
NY, USA
$200,000 - $250,000/year

Overview

The Director of Recommendation Science will lead a team in creating machine learning solutions for NBCU’s video streaming services, focusing on recommender systems and predictive modeling.

In Short

  • Manage a high-performance team of data scientists.
  • Develop recommendation system modeling and experimentation framework.
  • Collaborate with business stakeholders to define priorities and requirements.
  • Utilize advanced data science methodologies.
  • Work on real-time video streaming capabilities.
  • Focus on consumer-first brands including Peacock and NBC.
  • Drive innovation and growth in the media sector.
  • Foster a culture of respect and collaboration.
  • Engage in cross-functional partnerships.
  • Participate in diversity and inclusion initiatives.

Requirements

  • 7+ years of experience in Machine Learning.
  • 3+ years of management experience in data science.
  • Experience with recommender systems and deep learning.
  • Ability to navigate complex organizations.
  • Preferred experience with graph-based recommendation systems.
  • Passion for media and entertainment.

Benefits

  • Medical, dental, and vision insurance.
  • 401(k) plan.
  • Paid leave and tuition reimbursement.
  • Various discounts and perks.
NBCUniversal logo

NBCUniversal

NBCUniversal is a leading global media and entertainment company that creates and distributes world-class content across various platforms, including film, television, and streaming services. The company operates renowned brands such as NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, Bravo, USA Network, and Peacock. In addition to its media operations, NBCUniversal boasts world-famous theme parks and attractions through Universal Destinations & Experiences. As a subsidiary of Comcast Corporation, NBCUniversal is committed to fostering a diverse, equitable, and inclusive culture, empowering its employees and communities while delivering content that reflects the dynamic nature of the world.

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