Build a holistic picture of DMG audiences, their listening behaviors and preferences across brands, artists, products, and platforms.Activate descriptive and creative metadata, collaborating cross-functionally to develop the contextual models that will enable deeper business insights.Build out in-depth knowledge of the success drivers, determining the KPIs that will help meet goals as well as deliver value added solutions that have a measurable impact on the business Establish top line and operational metrics that accurately represent the state of health for our brands, products, and campaigns.Develop the tools that help business stakeholders evaluate trade-offs across varied tactics, business environments and create targets for driving business performance Support new and potential opportunities through opportunity sizing, forecasting and scenario analysis.Drive pragmatic approaches to solving complex business problems through data creation, analysis, predictive and causal modeling.The role will need to collaborate effectively with cross-functional partners, working with Engineering and Product teams to build decision support tools that will scale and expand how data is used across the organization The role will be expected to turn research into practical business solutions and continuously broaden and enrich our data assets.

The right person for this role has tackled complex problems in forecasting and measurement, behavioral segmentation, and has worked with large transaction level datasets. To support these goals, the role will develop a deep understanding of how content, marketing, and distribution strategies interact to drive product performance The role will creatively explore new channels of data and build the analytical models that will inform planning and decisions across the DMG business areas Data Scientist is responsible for the *** Music Group's (DMG) data, quantitative frameworks, and decision support tools.

Spotify careers senior data engineer