Duties: - Work with local affiliates/labels, international teams, and Global Technology to  understand the trends and dynamics driving major streaming services from the perspective of the  fans and listeners who enjoy WMG music.
- Create expert level insight into audience behavior by  helping to establish best practices for data which captures music listening preferences to gauge the  impact of marketing initiatives and campaigns on our listeners, and to comprehensively understand  and predict listener behavior.
- Work with quantitative data to coordinate with labels, analysts and  other business stakeholders on delivery of reporting and inference. Develop new forecasting and  audience targeting procedures.
- Communicate findings and insights to key stakeholders to establish  best practices, and to guide analysis into action and results.
- Transform data into stories via tailor made presentations and develop new hypothesis testing and decision making for real time  assessment of audience viewing patterns and performance of music delivery streams.
- Interact with  data engineering teams to identify the data needs for the mathematical models.
Requirements:- Master's degree or foreign equivalents in Statistics, Economics, Mathematics, or a related quantitative field- 2 years of experience in the position offered or related- 2 years of experience working with R, Python, and SQL- 2 years of experience using advertising data to build marketing mix models to measure incremental impact of ads and campaigns, using techniques like multi-linear regression and Hierarchical Bayes- 2 years of experience gather and analyzing audiene data and using targeting models including propensity scoring, and look-alike modeling to develop actionable insight into audience behavior- 2 years of experience deploying machine learning models into a production environment- 2 years of experience communicating technical concepts using data visualizations (using libraries such as matplotlib or ggplot2)- 2 years of experience preparing written presentations of technical concepts for a non-technical, business stakeholder audience