3 jobs found

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.   Famehouse, a division of UMG, is the preeminent leader in D2C solutions in music, defining & delivering the industry’s best-in-class service to connect artists with their fans. Established & headquartered in Philly, Famehouse powers eCommerce for UMG’s labels, artists, and Bravado, along with a select roster of 3rd party clients. Our success & culture is fueled by collaboration—both within FH and with our partners. We are passionate about...

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.   How we LEAD: We are seeking an experienced and driven Senior Data Engineering Manager - Enterprise Data Products within the Global Data & Analytics team. You are passionate about leading teams that deliver scalable, reliable, and AI-ready data platforms that power enterprise decision-making, advanced analytics, and ecommerce growth. You understand that modern data platforms must not only support reporting, but also enable machine learning,...

As part of the Media Group Decision Sciences team, the Lead Data Scientist will be responsible for creating analytical solutions for one or more verticals of NBCU’s video streaming service including, but not limited to, the recommender system, automated marketing, personalized advertisement, commerce and revenue optimization systems, customer journey and CRM solutions. In this role, the Lead Data Scientist will use advanced data science methodologies including causal discovery analysis, reinforcement learning, machine learning models, Bayesian analysis etc. and work closely with business owners, teammates and engineers to build a state-of-the-art real-time video streaming service. Responsibilities include, but are not limited to: Lead development of analytical models using statistical, machine learning and data mining methodologies. Advise, help to resolve issues and handle non-standard cases. Define procedures for cleansing, discretization, imputation, selection,...