Data Scientist

Warner Music Group; New York (NY); On-site; USD 115,000 - 130,000; Full time

Job summary

Warner Music Group seeks a Data Scientist for Strategic Finance to bridge financial strategy and technology, designing forecasting tools and automating complex financial workflows.

You will collaborate with Technology and Affiliate Finance, transforming disparate data into cohesive datasets and enabling self‑service analytics for strategic decision making.

Qualifications

• Bachelor’s, Master’s, or PhD in Statistics, Data Science, Computer Science, Applied Mathematics, or a related field.
• 3–5 years hands‑on experience with cloud data platforms (Snowflake, Databricks), Python automation, internal app frameworks (Streamlit), BI/reporting tools, workflow automation (Airtable), and AI‑assisted development tools.
• Experience leading data science projects with minimal supervision.
• Proficiency in 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.

Responsibilities

• Partner with Technology and Affiliate Finance to design and deploy a robust financial forecasting and planning tool.
• Spearhead AI and automation initiatives to streamline workflows across Strategic Finance.
• Enforce data integrity by architecting datasets and automating quality controls.
• Work with senior finance collaborators to solve complex problems using analytical or tech approaches.
• Serve as liaison between Strategic Finance, Technology, and data platform teams to align solutions with business priorities.

Skills

Python

R

SQL

Machine learning

Data analysis

Communication

Problem solving

Leadership

Education

Bachelor’s/Master’s/PhD in Statistics/ Data Science/ CS/ Applied Mathematics

Tools

Snowflake

Databricks

Streamlit

Airtable

BI/Reporting tools

Job description

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. That is why 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.

Consider a career at WMG and get the best of both worlds – an innovative global music company that retains the creative spirit of a nimble independent.

At Warner Music Group, our Strategic Finance team serves as the analytical engine that drives both our high-level business strategy and day-to-day operations. By extracting actionable intelligence from core financial data, the team partners seamlessly across Warner Music’s Central Functions, Recorded Music, and Music Publishing to uncover deep business insights. Ultimately, Strategic Finance sits at the forefront of the company, mapping the financial dynamics and emerging trends that are actively shaping the future of the global music industry.

Your role:

As the Data Scientist for Strategic Finance, you will act as the crucial link between our financial strategists and the Technology department. A key part of your mission is collaborating closely with the technology engineers and data scientists who are building our state-of-the-art predictive forecasting platform, ensuring the tool perfectly aligns with business needs. Alongside this, you will deploy modern AI solutions to automate complex financial workflows and transform ambiguous, disparate data into standardized, cohesive datasets—moving the department away from fragile legacy spreadsheets and toward a highly automated, self-service data ecosystem.

Here you’ll get to:

• Partner closely with Technology and Affiliate Finance teams to gather requirements, design, and deploy a robust financial forecasting and planning tool that supports WMG's long-term modeling.
• Spearhead AI and automation initiatives to eliminate manual bottlenecks and streamline workflows across Strategic Finance.
• Enforce data integrity within Strategic Finance by collaborating with data management teams to architect datasets and automate rigorous quality controls.
• Work directly with senior finance collaborators to clarify complex problems and build the right analytical or technology-based approaches using large, dynamic datasets.
• Act as the trusted liaison between Strategic Finance, Technology, and data platform collaborators to ensure all technical solutions perfectly align with business priorities.

About you:

• Bachelor’s, Master’s, or PhD in Statistics, Data Science, Computer Science, Applied Mathematics, or a related field.
• 3-5 years of hands‑on, practical experience with cloud data platforms (Snowflake, Databricks), Python-based automation, internal app frameworks (Streamlit), BI/reporting tools, workflow automation platforms (Airtable), and AI-assisted development tools.
• Experience helping teams adopt new tools, new processes, and more modern ways of working while staying grounded in business realities.
• Demonstrated ability to lead and implement 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.
• Excellent communication skills, with the ability to explain complex concepts to non-technical collaborators.
• Strong problem-solving abilities, with a bias towards action and a proactive approach to finding opportunities and challenges.

We’d love it if you also had:

• Familiarity with the streaming music landscape or other digital media
• Experience in finance transformation and EPM implementation
• Knowledge of accounting concepts and revenue recognition principles

As the home to 10K Projects, Asylum, Atlantic Music Group, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world’s premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalog of more than one million copyrights worldwide. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX. In addition, WMG counts film and television storytelling powerhouse Warner Music Entertainment among its many brands.

Together, we are Warner Music Group: Independent Minds. Major Sound.

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. #LI-OnsiteSalary Range: $115,000 - $130,000 AnnuallySalary 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.

Warner Music Group is an Equal Opportunity Employer.

Links to relevant documents:

2026 Benefits At A Glance final.pdf

EVerify Participation Poster.pdf

Right To Work .pdf