Data Scientist

Warner Music Group•New York, NY

9d•$115,000 - $130,000•Hybrid

About The Position

The Data Scientist role is within Warner Music Group's Strategic Finance group, which influences WMG's strategy and operations by developing insights and intelligence from core business practices. This role involves partnering with various departments across Warner Music’s Central Functions and Recorded Music and Music Publishing Divisions to understand business trends and dynamics. The goal is to strengthen analytical power and improve the rigor of insights delivered to labels and operators. The team works with partners to establish standard methodologies for breaking artists and sustaining catalog repertoire, gauge marketing initiative impacts, and understand user behavior globally. This role offers the chance to apply creativity and problem-solving skills to help labels and artists connect with consumers across diverse media and mediums. It provides an opportunity to observe and influence decision-making within an international music organization. The team values learning, sharing ideas, and thinking about the future of the music industry.

Requirements

Bachelor’s, Master’s, or PhD in Economics, Econometrics, Statistics, Data Science, Applied Mathematics, or a related field.
3-5 years of full-time post-graduation experience applying econometric and statistical methods in a business setting, preferably within the music, entertainment, or digital media industry.
Proven experience working with and analyzing macroeconomic and industry-level data from globally-trusted third-party sources like the UN, IMF, OECD, and World Bank.
Proven capability to independently manage and carry out analytical projects involving rigorous statistical and econometric analysis.
Demonstrated ability to lead and execute data science projects with minimal supervision.
Proficiency in programming languages such as Python or R for data analysis and model development.
Experience with machine learning frameworks and statistical tools.
Strong understanding of SQL and working with large datasets.
Familiarity with data visualization tools like Tableau or Power BI.
Expertise in fundamental data analysis, machine learning, and statistical modeling techniques.
Ability to quickly learn and adapt to new techniques and technologies.
Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Strong problem-solving abilities, with a bias towards action and a proactive approach to identifying opportunities and challenges.

Nice To Haves

Familiarity with the streaming music landscape or other digital media.
Experience building analytical products and dashboards within BI software such as Tableau or alternative platforms like Streamlit.

Responsibilities

Lead initiatives involving data analysis from inception to completion on topics such as revenue forecasts and subscriber consumption, digital advertising forecasts, global trends analysis, business performance trends, and more.
Apply advanced quantitative modeling and data examination methods to address complex business challenges.
Develop and maintain production-level models, ensuring accuracy and efficiency.
Work closely with Strategy, Corporate Finance, and operators to understand business needs, and provide actionable insights to a diverse audience across the business.
Proactively identify areas where data science can add new value by experimenting with different hypotheses and techniques to improve existing processes and techniques within the BI team.
Apply AI, advanced tools and frameworks to support data examination, modeling, and visualization.
Promote and participate in a culture of continuous learning within the team by providing feedback, sharing knowledge, and mentoring more junior team members.