Data Scientist Podcast Monetization at Spotify

We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.

A rarity in digital media, podcast advertising gets results for advertisers, allows creators to profit and (when done well) entertains listeners. Spotify — through its growing ads business and ongoing investment in original audio content — has the outstanding opportunity to amplify and scale what’s great about podcast ads by building the first truly digital podcast ad experience.

Our team is looking for a data scientist to join the band and help us define, build, and forecast our audience-based podcast ad offerings. This role will sit directly with our forecasting & analytics squad, partnering with our product manager to guide our roadmap and our engineers to launch new analytics offerings.


What You'll Do

Explore podcast and audience data to answer key questions on the future of podcast ad targeting
Conceptualize approaches and evaluate models for forecasting podcast ad inventory
Propose changes to our product roadmap based on quantitative insights
Perform analysis on large sets of data to extract impactful insights that will help drive product decisions
Contribute to the development of the Product Insights function and the wider data science community at Spotify



Who You Are

You know how to understand and solve loosely defined problems and come up with relevant answers to guide product development decisions
You have a deep understanding of numbers, as well as a strong business sense (preferably within advertising)
You have 4+ years of proven experience, with a degree in computer science, statistics, or mathematics or another quantitative field
You have familiarity with developing statistical or machine learning-based forecasting methods from ideation to implementation and deployment
You have the technical competence to perform analytics: wrangling and querying data (SQL), coding skills (such as Python, Java, or Scala), experience with analytics & visualization libraries (pandas, tidyverse, seaborn, ggplot), visualization tools (Tableau, and experience performing analysis with large datasets
You possess statistical competence (such as regression modeling, a/b testing, significance testing etc)
You're an effective communicator: stellar communication skills with the ability to distill sophisticated thoughts and strategies into simple, impactful recommendations



Where You'll Be

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Working hours? We operate within the Eastern Standard time zone for collaboration



Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

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 with a community of more than 345 million users.