Music Jobs category interest

About Firebird

Firebird is a next generation music company providing career and brand guidance to over 1,000 artists worldwide to help them develop and grow broader global audiences and build longer lasting, higher impact, more profitable careers. Redefining the intersection of music, technology and finance, Firebird has rich expertise across the spectrum of artist management and intellectual property creation, from traditional endeavors like touring and recording, to cutting edge marketing and consumer product development, to emerging digital platforms from gaming to AI.

Firebird’s roster of partners includes some of the most important companies across the various aspects of the music landscape today including Red Light Management, Mick Management, Transgressive, Defected, Ntertain, Tape Room, Easier Said and many more.

Job Summary

The Firebird Data andamp; Analytics team is seeking a talented and driven Director, Data Science to lead the development and optimization of dashboards, forecasting models, and automated reporting solutions.

You will oversee the creation of data tools that enable strategic decision-making across Firebird’s artists, partners, and departments. This role is pivotal in providing real-time insights through dynamic visualizations and models, ensuring that all stakeholders have access to timely and actionable data to drive growth and engagement in the music industry.

You will be responsible for building and leading a team that turns complex data into actionable insights, thereby shaping the future of data in the music industry. The ideal candidate will bring a combination of technical expertise and leadership experience, with a strong focus on forecasting, media mix modeling to optimize marketing performance, statistical modeling, and business intelligence.

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Key Responsibilities

- Model Forecasting Solutions: Create and manage forecasting models to predict trends in artist performance, market engagement, and revenue, optimizing for both long-term and short-term strategies.

- Media Mix Modeling: Lead the design and implementation of media mix models to assess marketing channel effectiveness, optimize spend, and maximize return on investment (ROI).

- Segmentation Models: Build segmentation models to help artists and their teams identify the highest value customers and how they can best engage with them.

- Collaborate Across Teams: Work closely with the SVP of Data andamp; Analytics, product managers, and other business units to identify key metrics and KPIs for visualization and reporting.

- Optimize Business Processes: Use data science tools to improve decision-making processes by providing actionable insights into fan engagement, digital marketing performance, and e-commerce metrics.

- Data Strategy Development: Develop and implement data strategies that align with Firebird’s broader business goals, focusing on continuous innovation and improvement of data tools and models.

- Mentor and Lead: Build and lead a high-performing team of data analysts and data scientists, fostering a culture of collaboration and innovation.

- Deliver Actionable Insights: Analyze complex data sets, translating findings into strategic recommendations that optimize artist promotion, fan interaction, and business growth.

Qualifications

- Bachelor’s degree in Data Science, Computer Science, Econometrics, Political Science, Mathematics or a related field with quantitative studies; Master’s degree or PhD preferred

- 10+ years of experience in data science, forecasting models, and report optimization

- 7+ years of experience in statistical programming with R and Python and expertise in visualization tools such as R Shiny, Looker, or Tableau

- 5+ years of experience in managing data science or analytics teams, driving projects from conception to execution

- Strong understanding of statistical and machine learning principles and methods.

- Exceptional ability to communicate complex quantitative and statistical concepts in a clear, precise, and actionable manner.

- Strong strategic thinking capabilities and operational acumen, with demonstrated success in leading large-scale data science projects from inception through to execution under tight deadlines.

- Experience with Master Data Management and Master Asset Management systems is a plus

- Ability to work independently and as part of a team

- Ability to manage multiple projects simultaneously

- Ability to work under pressure and meet deadlines

- Passion for music and the music industry is a plus

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