Staff Data Scientist, Advertising Sales and Operations

Job Description

At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business.

We are looking for experienced and accomplished data scientists to join our data science and analytics practice in Advertising Business. Members of this team will develop insights and products for internal business sales and operations teams that drive data-informed decision-making to help us meet our goals.

As a lead data scientist in this group you will use the whole range of data science tools and capabilities in the following areas:

Revenue forecasting and account planning
Ad pricing, inventory and yield management
Product mix modeling
International advertising growth
Strategic advertiser research
Sales and operations

As a Data Scientist in Ads Business your mission is to turn terabytes of data into insights, and get a genuine understanding of the world of our advertisers and listeners. You'll join a team of data scientists and analysts that's part of an existing insights organization and that offers plenty of opportunity for teamwork and learning.

This team will answer questions such as:
How do we recommend the right mix of ad products to provide maximum value to our top advertising partners?
How well is our business performance matching our goals and can we uncover specific areas to focus on improvement or double down on success?
How can we optimize our pricing across regions, platforms and products?

#remote

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

Jobcode: Reference SBJ-g34519-18-216-121-55-42 in your application.