Warner Music Group Senior Data Scientist

At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we know that each talent makes our collective bolder and brighter.

Technology is one of the most important parts of our business. Whether it’s signing up new artists; ensuring we provide the right data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success. The engineering team at Warner Music Group makes all of it a reality.

Team Overview

The Data Science team builds predictive models, clustering and segmentation analyses, and deep learning and generative AI systems to provide actionable insights that drive business growth and to help WMG operate quickly and accurately at scale. Our ideal candidate will have a strong background in model-building and data analysis, along with curiosity and good communication skills.

Responsibilities

Develop a thorough understanding of our complex datasets and interpret them as they relate to understanding our artists, songs, and fans and other new product development
Build predictive models and generative AI solutions to capture opportunities and solve business problems
Design production-level (efficient and scalable) models and robust data pipelines to manage the lifecycle of data and model
Mentor and perform code & design reviews for more junior data scientists
Collaborate with other members of the Data Science and Engineering teams on ways to approach problems, augment code, and share new techniques
Work closely with cross-functional teams to define project objectives and deliverables, and to explain your approach, recommendations, and models
Find opportunities for improvement across the business and assist in decision-making across teams


Requirements

5 or more years of full-time, hands-on experience as a Data Scientist or equivalent
High degree of proficiency with one of Python or R (preferably Python) and SQL
Deep understanding of statistical modeling concepts and ML algorithms
Strong written communication and presentation skills (we have a writing & reading culture)
Ability to work independently and collaboratively in a fast-paced environment
Experience with cloud computing services or platforms (preferably AWS)
Experience with both Snowflake and Databricks is a plus
Bachelor’s Degree or above in a quantitative field