Senior Data Scientist

Senior Data Scientist
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.

Job Title: Senior Data Scientist

A little bit about our team:

The Data & Insight team work with the Frontline & Catalogue labels, Commercial & Finance teams on: track / artist performance and strategy, partner / competitor performance analysis, market trends, risks & opportunities. Sometimes as part of a team, sometimes solo but always delivering timely, clear and actionable insight and recommendations.

Your role:

You are a music lover who understands this unconventional industry; driven and innovative, you think out of the box and are always looking for new techniques to explore data and deliver impactful insight. You will not only execute complex analyses but also lead data science work streams, guide junior team members, and help shape our data strategy.

Here you'll get to:

• Pro-actively support the business by gathering data and, using advanced statistical techniques, communicate key insights that lead to strategic change.
• Anticipate stakeholder needs, developing tools and frameworks to provide data-driven insight and solutions to the business, particularly collaborating with the creator, paid media, and audience teams.
• Apply sophisticated statistical and machine learning techniques to large, complex datasets to uncover patterns, trends, and predictive insights.
• Champion the creation of compelling and intuitive data visualisations to effectively communicate complex insights to both technical and non-technical stakeholders, including senior leadership.
• Ensure data accuracy, consistency, and governance by collaborating closely with data engineering teams, and providing guidance on data quality best practices.
• Encourage the automation of existing manual reporting and processes, identifying opportunities for efficiency gains across the business.
• Mentor and upskill members of the data team, fostering a culture of learning and development in advanced analytical techniques.
• Stay at the forefront of industry trends, emerging technologies, and best practices in data science and machine learning, evaluating their potential application within our business.

About you:

DATA SCIENCE
• Extensive proficiency in Python and its associated data science libraries (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch) and data visualisation libraries (e.g., Plotly, Dash).
• Strong knowledge and practical application of statistical analysis and data visualization techniques.
• Strong experience of a wide range of machine learning algorithms, including supervised & unsupervised.
• Proven experience in machine learning model interpretation and evaluation with the ability to articulate model limitations and risks.

DATA ENGINEERING
• Significant experience with data extraction, transformation and processing large-scale datasets.
• Advanced proficiency in SQL for complex data extraction, manipulation and optimization.
• Demonstrable experience designing, building, and maintaining robust and scalable ETL processes and data pipelines for datasets from various sources (website scraping, social media APIs, internal systems).
• Experience with Docker and other relevant tools for deploying and scaling data pipelines and machine learning models is a strong advantage.

ADDITIONAL TECHNICAL SKILLS
• Experience with Python web development frameworks - Django, in particular, beneficial.
• Experience with Git for version control and collaborative development.
• Familiarity with Snowflake or Databricks, especially with Snowpark or PySpark Python libraries.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure) a benefit.
• Familiarity and practical experience with time series modelling techniques are a benefit.

LEADERSHIP & SOFT SKILLS
• Exceptional problem-solving and critical thinking skills, with a proven ability to tackle ambiguous challenges, analyse complex datasets, and derive actionable strategic insights.
• Strong communication skills, both written and verbal, with the ability to articulate complex findings and influence technical and non-technical stakeholders at all levels, including C-suite.
• Demonstrated experience working, influencing, and communicating effectively with various non-technical stakeholders at various levels
• Highly organized, detail-oriented, with proven ability to lead multiple projects, manage priorities effectively, and delegate where appropriate.
• A proactive and curious mindset with a commitment to staying updated on new trends, tools, and methodologies in data science and data engineering, and sharing this knowledge with the team.

We'd love it if you also had:
• A Degree in Data Science, Computer Science, Statistics, or a related quantitative discipline.
• Experience in the music or entertainment industry is beneficial but not essential.

About us:
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.

Love this job and want to apply?

Click the "Apply" link at the top of the page, or apply directly with your LinkedIn. Applying with LinkedIn will import all of the information you put in your profile, but will still allow you to upload a resume and cover letter.

Don't be discouraged if you don't hear from us right away. We're taking our time to review all resumes, and to find the best people for WMG.

Thanks for your interest in working for WMG. We love it here, and think you will, too.

#LI-Hybrid and #LI-Onsite

WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religion or belief, age, sex, sexual orientation, gender, gender identity or gender reassignment, marital or civil partnership status, disability, pregnancy, childbirth or any other characteristic protected by law.