Senior Data Scientist

at  Luminate

Are you an entertainment news junkie? Do you thrill your friends with tales torn from famous and obscure sources about artists and performers of every ilk? Are you a bit of a data-head who’s a little obsessed with entertainment charts, ranks, lists and stats? Do you knowingly smile to yourself as you watch a story’s blow-up path, from the feeds to the web to TV, all fueled by the public’s fascination with all things entertainment? And do you have an eye for fact-based stories and an understanding of the role data plays in their telling? If so, we’d like to talk!
Luminate is the preeminent entertainment data and insights company, unlocking access to the most essential, objective, and trustworthy data compiled from thousands of verified data sources. The beneficiary of industry consolidation, Luminate now houses what was once Nielsen Music, BDS Radio, SoundScan, Music Connect, Alpha Data and Variety Business Intelligence.

THE TEAM:

We are looking for a Senior Data Scientist to join our Data team in New York City, NY. Your role will include a combination of developing models and tools to be deployed into production systems and defining frameworks to measure and improve data quality standards. This is an IC position, but will require you to collaborate with the Data team as well as with various technical and nontechnical team across our organization. Your work will directly impact the future of our Music and Film & TV products.

• Leverage various data science methods such as machine learning, statistical modeling, and causal inference to understand user behavior and help optimize and drive product improvements and feature prioritization
• Create predictive models using the latest machine learning algorithms on relatively “big” data;
• Independently utilize large data sets to uncover, size, and advocate for DS/ML opportunities that improve the experience for customers and internal teams
• Solving opaque, unstructured problems by developing core DS/ML frameworks that shape the company’s approach to data
• Define, evaluate, and monitor key metrics, understanding the root causes of changes, and feeding them back to business stakeholders to action on.
• Present ideas and results, including translating business objectives to DS/ML problems and vice versa
• Make Luminate an even better place to work by increasing data literacy and expertise through collaboration, development of DS/ML best practices, and documentation
• Collaborate with cross-functional teams including Product, Engineering, Sales, Research, Marketing, and more.