Senior Data Scientist
Amsterdam, Netherlands
Applications have closed
FUGA
We provide flexible music distribution and marketing services, powered by our industry-leading technology.FUGA provides forward-thinking music distribution, technology, and marketing services to forward-thinking music companies. Working at the heart of the music industry with more than 800 clients, including Riot Games, Hospital Records, Epitaph, and Beggars Group, FUGA is the world’s leading full-service B2B music distributor.
FUGA works at the forefront of music distribution technology, connecting its clients with digital service providers like Spotify, Apple Music, and Amazon Music while helping them get the most from their music, whether that’s with award-nominated label services, industry-leading revenue accounting, or using FUGA’s suite of best-in-class products.
JOB DESCRIPTIONFUGA is looking for a seasoned Data Scientist with music industry experience to lead our advanced data-insights efforts using a treasure-trove of music consumption and royalties data. This role requires a strong technical background in software engineering as well as specialised analysis and modelling skills. The main objectives of this role are to discover actionable insights and build running models for supporting and enhancing business and technical decisions across our Trends, Royalty, Marketing Analytics and Operations teams, to name a few.
Requirements
WHAT SKILLS DO I NEED?A successful applicant for this role will:
Minimally hold a Master's degree or equivalent in Data Science
Be a self-starter, well-organised, methodical and willing to collaborate with multiple teams
Be able to build, deploy, test and debug entire software systems and data pipelines
Have excellent communication and data visualisation skills
Have solid experience with exploratory analysis, developing ML and AI models from ideation to production and comfortable working with multiple complex data sources of significant volume
Be proficient with Unix-based operating systems, Python, Apache Spark and Airflow, Kubernetes and Docker, Github, CI-CD practices and unit testing
Have experience with cloud-based services (preferably with Google Cloud Platform)
Have a keen interest in the music domain
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Data pipelines Docker Engineering GCP GitHub Google Cloud Kubernetes Machine Learning Pipelines Python Spark Testing
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