Job Description

Senior Data Scientist
:
At Warner Music Group, were 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:
xe2x97x8f Curiosity: We do our best work when were 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.
xe2x97x8f 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.
xe2x97x8f Commitment: We pursue excellence for our team and our talent. Everything in music starts with a leap into the unknown, and were 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 youll get to:
xe2xa6x81 Pro-actively support the business by gathering data and, using advanced statistical techniques, communicate key insights that lead to strategic change.
xe2xa6x81 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.
xe2xa6x81 Apply sophisticated statistical and machine learning techniques to large, complex datasets to uncover patterns, trends, and predictive insights.
xe2xa6x81 Champion the creation of compelling and intuitive data visualisations to effectively communicate complex insights to both technical and non-technical stakeholders, including senior leadership.
xe2xa6x81 Ensure data accuracy, consistency, and governance by collaborating closely with data engineering teams, and providing guidance on data quality best practices.
xe2xa6x81 Encourage the automation of existing manual reporting and processes, identifying opportunities for efficiency gains across the business.
xe2xa6x81 Mentor and upskill members of the data team, fostering a culture of learning and development in advanced analytical techniques.
xe2xa6x81 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
xe2xa6x81 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).
xe2xa6x81 Strong knowledge and practical application of statistical analysis and data visualization techniques.
xe2xa6x81 Strong experience of a wide range of machine learning algorithms, including supervised & unsupervised.
xe2xa6x81 Proven experience in machine learning model interpretation and evaluation with the ability to articulate model limitations and risks.
DATA ENGINEERING
xe2xa6x81 Significant experience with data extraction, transformation and processing large-scale datasets.
xe2xa6x81 Advanced proficiency in SQL for complex data extraction, manipulation and optimization.
xe2xa6x81 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).
xe2xa6x81 Experience with Docker and other relevant tools for deploying and scaling data pipelines and machine learning models is a strong advantage.
ADDITIONAL TECHNICAL SKILLS
xe2xa6x81 Experience with Python web development frameworks Django, in particular, beneficial.
xe2xa6x81 Experience with Git for version control and collaborative development.
xe2xa6x81 Familiarity with Snowflake or Databricks, especially with Snowpark or PySpark Python libraries.
xe2xa6x81 Experience with big data technologies and cloud platforms (e.g., AWS, Azure) a benefit.
xe2xa6x81 Familiarity and practical experience with time series modelling techniques are a benefit.
LEADERSHIP & SOFT SKILLS
xe2xa6x81 Exceptional problem-solving and critical thinking skills, with a proven ability to tackle ambiguous challenges, analyse complex datasets, and derive actionable strategic insights.
xe2xa6x81 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.
xe2xa6x81 Demonstrated experience working, influencing, and communicating effectively with various non-technical stakeholders at various levels
xe2xa6x81 Highly organized, detail-oriented, with proven ability to lead multiple projects, manage priorities effectively, and delegate where appropriate.
xe2xa6x81 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.
Wed love it if you also had:
xe2xa6x81 A Degree in Data Science, Computer Science, Statistics, or a related quantitative discipline.
xe2xa6x81 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 worlds 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.
Dont be discouraged if you dont hear from us right away. Were 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.