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 turn dreams into stardom and audiences into fans. We are guided by three core values that underpin everything we do across all our diverse businesses:

• Curiosity: We do our best work when we’re immersing ourselves in culture and breaking through barriers. Curiosity is the driving force behind creativity and ingenuity. It fuels innovation, and innovation is the key to our future.
• Collaboration: Making music and bringing it to the world is all about the power of originality amplified by teamwork. A great idea, like a great song, travels globally. We ignite passions and build connections across our diverse community of artists, songwriters, partners, and fans.
• Commitment: We pursue excellence for our team and our talent. Everything in music starts with a leap into the unknown, and we’re committed to keeping the faith, acting with integrity, and delivering on our promises.

WMG is home to a wide range of artists, musicians, and songwriters that fuel our success. We are committed to creating a work environment that actively values, appreciates, and respects everyone. We encourage applications from people with a wide variety of backgrounds and experiences.

About the role

The Strategic Finance group works to influence WMG’s strategy and day-to-day operations by developing thoughtful insights and intelligence from its core business practices. The role involves the Data Scientist partnering with various departments across Warner Music’s Central Functions, Recorded Music, and Music Publishing Divisions to understand the trends and dynamics that drive the constant evolution of our business.

Our goal for this role is to strengthen our analytical power and bring improved rigor to the insights we deliver to our family of labels and operators. We work with partners across the company to establish standard methodologies for breaking artists and sustaining catalog repertoire across consumption platforms, gauge the impact of marketing initiatives and campaigns, and work to understand user behavior around the world. This role offers the chance to apply creativity and problem-solving skills to assist our labels and artists in connecting with consumers across diverse media and mediums.

The Strategic Finance team works closely with departments across the organization. This role offers a chance to observe how an international music organization operates and makes decisions, and allows you to influence those decisions with careful intelligence work. As a collaborative team, we love learning new things, sharing ideas, and thinking about the future of the music industry – and helping our company get there.

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.

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 have

• 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.

Benefits

This position requires a minimum of 4 days per week in the office. We value in-office collaboration, which is essential for talent development and strong working relationships.

Pay

Salary Range: $115,000 - $130,000 Annually. Salary ranges are included for job postings where required by law. The actual base pay is dependent upon many factors, such as work experience and business needs. The pay range is subject to change at any time dependent on a variety of internal and external factors.