Data Scientist - DistroKid

**FULLY REMOTE

**ROLE OPEN TO CANDIDATES IN THE FOLLOWING REGIONS:

USA, CANADA, EUROPE/UK & ISRAEL

We do not provide sponsorship at this time. 

DistroKid is the world’s largest music distributor to Spotify, Apple, Google, TikTok, and more. Most new music today is released through DistroKid. Help us help millions of musicians be more prolific!

Summary:

We are seeking a motivated and skilled Data Scientist to join our team at DistroKid. The successful candidate will have a significant opportunity to design, develop and deploy Machine Learning models that empower our internal teams and make a real difference to our global community of artists. This role joins our existing Data Science team and will be part of our broader Data function that includes Data Analysts and Data Engineers. Furthermore, the person will work with teams across the business, including our Operations team, Product, and Marketing teams, as well as Engineers, Database Administrators, Security, Dev Ops and Sys Ops peers.

It is a fascinating time to be a Data Scientist in the music industry, and the successful candidate will have the opportunity to work on leading industry topics such as Fraud Detection, Generative AI as well as more general business problems such as User Segmentation and Retention Modeling. There is the opportunity to have a significant impact across our entire business, and there is broad scope for the successful candidate to bring new approaches and best practices into our existing stack.

If you have a strong background in data science and a passion for music and the entertainment industry, we would love to hear from you!

Responsibilities:

• Individual contributor responsibility within an existing small team of Data Analytics, Scientists and Engineers, reporting into the Data Director.
• Design, develop, test, and deliver Machine Learning models that solve critical business problems, with emphasis on our Operations, Product, and Marketing teams.
• Close collaboration with our Data Engineering, Sys Ops and Dev Ops teams to ensure models and data pipelines are deployed in robust, maintainable ways that follow modern best practices.
  
• Leading communication, collaboration and alignment with colleagues across the business to understand teams’ requirements and present Data Science’s work.
• Maintain an up-to-date understanding of data science topics in the music industry and their impact on our business, such as Streaming Fraud, Generative AI and LLMs.
  
  

Skills / Requirements:

• Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field; Master's degree preferred.
• 3+ years of experience in one or more data-related roles, preferably within the music or entertainment industry.
  
• Proficiency in Python and SQL.
  
• Understanding of core ML concepts including different algorithmic approaches, business alignment and best practices in building models.
  
• Familiarity with tools and frameworks for orchestrating Machine Learning and Analytical Pipelines (e.g. Dagster, Airflow, DBT, MLFlow).
  
• Experience with cloud-based data storage and computing platforms like AWS, Azure, or Google Cloud Platform. AWS experience would be most beneficial.
  
• Strong analytical and problem-solving skills, with the ability to individually troubleshoot complex data issues and implement effective solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional and global team environment.

About DistroKid:
DistroKid was founded in 2013 to provide musicians, managers, and record labels with online tools and services that are innovative, easy-to-use, and affordable. Nearly 2 million artists rely on DistroKid and include hobbyists, up-and-coming musicians, top YouTubers, and household names like 21 Savage, Ludacris, Arizona Zervas, Will Smith, Tom Waits, and more. DistroKid’s expanding array of services includes music distribution, monetization, metadata customization, storage, and promotion. DistroKid’s small staff, coupled with a largely automated backend, has enabled DistroKid to process over 10 million songs—while simultaneously providing fast, personal & friendly customer service to artists of every size. Also, it’s fun to work here For more information, visit https://distrokid.com

DistroKid is an Equal Opportunity employer.