Data Scientist

Warner Music Group is hiring a Data Scientist to support the Strategic Finance team by partnering across Central Functions and Recorded Music & Music Publishing. This role focuses on analytical rigor, quantitative modeling, and AI-enabled examination and visualization to deliver actionable insights on trends, marketing impact, and user behavior.

Location

New York, NY (onsite)

Salary

USD 115,000 - 130,000 per year

Role Summary

Within the Strategic Finance group, the Data Scientist works with departments across Warner Music to strengthen decision-making through data analysis and modeling. The position combines advanced quantitative methods with AI-enabled tools to study business trends, forecast outcomes, and help stakeholders understand drivers of performance and consumption.

Key Responsibilities

• Lead end-to-end data analysis initiatives, including revenue forecasting and subscriber consumption, digital advertising forecasts, global trends analysis, business performance trends, and other strategic topics.
• Apply advanced quantitative modeling and data examination methods to solve complex business challenges.
• Develop and maintain production-level models with attention to accuracy and efficiency.
• Partner with Strategy, Corporate Finance, and business operators to clarify requirements and deliver actionable insights for a diverse audience.
• Identify opportunities where data science can add new value through experimentation with hypotheses and techniques to improve existing BI processes and methods.
• Use AI, advanced tools, and frameworks to support data examination, modeling, and visualization.
• Support continuous learning through feedback, knowledge sharing, and mentoring more junior team members.

Required Qualifications

• 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 in music, entertainment, or digital media.
• Demonstrated experience analyzing macroeconomic and industry-level data from trusted third-party sources such as the UN, IMF, OECD, and World Bank.
• Proven ability to independently manage and deliver analytical projects involving rigorous statistical and econometric analysis.
• Evidence of leading and executing data science projects with minimal supervision.
• Proficiency in programming languages including Python or R for analysis and model development.
• Experience with machine learning frameworks and statistical tools.
• Strong SQL skills and experience working with large datasets.
• Experience with data visualization tools such as Tableau or Power BI.
• Expertise in foundational data analysis, machine learning, and statistical modeling techniques.
• Ability to learn and adapt to new techniques and technologies quickly.
• Strong communication skills, including translating complex concepts for non-technical stakeholders.
• Strong problem-solving skills with a proactive, action-oriented approach.

Technologies

• Python
• R
• SQL
• Tableau
• Power BI
• Machine learning frameworks
• AI
• Streamlit

Preferred Experience

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

Experience Level

Minimum 3 years of relevant post-graduation experience is required.