Data Scientist, Music Usage Rights

At Epidemic Sound we are reinventing the music industry. Our carefully curated catalog, with over 35,000 tracks, is tailored for storytellers, streaming services, and in-store soundtracks. Countless clients around the world, from broadcasters, production companies, DSPs, and YouTubers rely on our tracks to help them tell their stories. Epidemic Sound’s music is heard in hundreds of millions of online videos daily, across millions of playlist streams, and in thousands of in-store locations. Headquartered in Stockholm, we’re spread across offices in New York City, Los Angeles, Seoul, Hamburg, and Amsterdam. We’re growing fast, have lots of fun, and are taking the music industry with us.

At Epidemic Sound we are reinventing the music industry. Our carefully curated catalog, with over 35,000 tracks, is tailored for storytellers, streaming services, and in-store soundtracks. Countless clients around the world, from broadcasters, production companies, DSPs, and YouTubers rely on our tracks to help them tell their stories. Epidemic Sound’s music is heard in hundreds of millions of online videos daily, across millions of playlist streams, and in thousands of in-store locations. Headquartered in Stockholm, we’re spread across offices in New York, Los Angeles, Toronto, Hamburg, Amsterdam and Sydney. We’re growing fast, have lots of fun, and are taking the music industry with us.

We are now looking for an experienced Data Scientist. Actually. You can call yourself Data Analyst, Data Guru, Analytics Enthusiast or Easter Bunny if you like, the thing is: we have data and you are good at data.

How you will make an impact

As an embedded Data Scientist within the Digital Rights Management team; a core part of our business, you will be responsible for helping us understand how our music is used across the internet, and the behavior of both licensed, and unlicensed users. You will not only understand when and how our paying subscribers use our music in their content, but also how our music is used without a subscription to help us monetize that content. You will work with large amounts of data, from a range of different sources such as Youtube, Facebook, TikTok, etc, finding patterns and insights to help us identify business opportunities and inform our strategy.

You lead and coordinate research initiatives to help build a deep understanding of our core metrics, users, and business areas. You facilitate knowledge sharing both within the team and across the analytics community and make sure our insights are democratized and accessible to relevant decision-makers. You are willing to work on a wide range of projects, supporting the team with everything from reporting and exploratory analyses, to helping to build the team strategy with your insights.

In this role, you will play a key part in building the research capabilities of a growing team. You will often find yourself collaborating with other teams within the Partnerships side of the domain, that includes developers from our product teams, Data Analysts/Scientists, Data Engineers and Machine Learning Engineers. You will also work closely with Business Managers who are in charge of building relationships with our partners.

So, if you want to be part of taking our analytics capabilities to the next level, influence the company through data-driven insights, and help soundtrack the world - this is the team to join.

Who you are

You are driven, self-motivated, and good at forming hypotheses and investigating them proactively. You thrive working in a cross-functional team, whilst also working with a range of stakeholders across the company, and collaborating with other data analysts and scientists to drive projects and initiatives to deliver business value. We also believe you have a passion for data, tech, music and the next phase of the digital music industry.

Other skills we believe you have:

- Experience in a data analyst/scientist role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline

- Excellent understanding of SQL

- Fluency in Python or R for data analysis

- Experience performing analysis on large datasets

- Good understanding of cloud technologies. We use GCP

- Good understanding of data engineering practices and data modeling

- Fluency in English

- Merit to those with significant experience from a growing product-focused company

- Merit to those with experience working within the music industry



Curious about our music? Find our music on Spotify here → https://open.spotify.com/user/... (https://open.spotify.com/user/epidemicsound)

We have lots of fun soundtracking the world and our annual Spring Bash (https://www.youtube.com/watch?v=NgnVp17IvAg) is an event that captures this perfectly. Take a look at our most recent one, a virtual celebration!



Application

Do you want to be a part of our fantastic team? Please apply, in English, by clicking the link below.

We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.