Senior Data Scientist, Warner Music Group
Office located in Wrights Lane, London
Entertainment and record label company
Be an early applicant
Entertainment and record label company
1001+ employees
Be an early applicant
Office located in Wrights Lane, London
1001+ employees
Company mission
To foster a culture of innovation and inclusion for their people, artists, and songwriters across the globe.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- You will not only execute complex analyses but also lead data science work streams, guide junior team members, and help shape our data strategy
- 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
Salary benchmarks
Our take
Warner Music Group (WMG) is a music and entertainment conglomerate that operates in more than 70 countries through its network of affiliates and licensees. As one of the “big-three” recording companies, it is a leader in the global music industry.
As the company looks forward to the future of music and technology, it has been focusing on its Web3 expansion within the Metaverse, creating new partnerships with a growing number of blockchain platforms – including The Sandbox, OpenSea, and OneOf. WMG is also expanding into gamification and is set to enable signed artists to release music NFTs through the Polygon-based marketplace LGND Music.
With the appointment of tech veteran and former Chief Businesses Officer at YouTube, Robert Kyncl, as its new CEO, WMG is further proving its dedication to breaking into the future of Web3 in an all-encompassing way, and it is well set to replicate its “real-world” success within the metaverse.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Flexible Work Options
Company HQ
Theater District, New York, NY
Leadership
Robert Kyncl
(CEO, not founder)Former Chief Business Officer at YouTube, VP of Content at Netflix and was an International Manager at HBO.
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