New York, NY, Remote
February 8, 2022
Apply NowJob description
Data, Research & Insights
Data Science
Spotify is a global community of over 250 million music fans, artists, and now podcasters. It's always been our mission to make audio more accessible for everyone, and create innovative ways for creators and fans to connect with each other.
Location
New York or Remote EMEA
Job type
Permanent
As audio has expanded from music to podcasts, audiobooks, and beyond - so has a creator’s ability to monetize and distribute their work. From monthly subscriptions to membership apps, creators are finding new ways to grow their audience - and we want to bring all of this content to Spotify. In the coming years, Spotify will redefine what it means for creators to monetize their work, as well as how listeners discover and gain access to that paid content.
The Audiobooks and Gated Content Vertical is responsible for bringing all the world’s paid audio to Spotify and becoming the ubiquitous destination for its consumption. This is an exciting and impactful new opportunity space for Spotify, and will help craft the platform for years to come.
Love podcasts and audiobooks? If you thrive in collaborative, passionate and fast-paced environments, come help us build the future of audio!
What you'll do:
- Provide an understanding of the business impact of Audiobooks, paid podcasts subscriptions, and other gated content.
- Communicate data-driven insights and recommendations to key partners; go beyond observations to useful insights
- Promote statistical thinking and rigor in how we create metrics and analyses that inform our day-to-day and strategic decisions.
- Work closely with cross-functional teams of engineers, user researchers, product owners, designers, and business decision-makers who are passionate about Spotify’s success
Who you are:
- You will have relevant applied experience with a degree or higher in statistics, mathematics, economics, computer science, or another quantitative field.
- You have the technical competence to perform advanced analytics: coding skills (such as R, Python, or Scala), and experience performing analysis with large datasets.
- You are an independent problem solver, able to work autonomously, capable of taking on loosely defined problems, and translating complex thinking into practical application for diverse audiences.
- You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others.
- Experience with causal inference methodologies and hands-on experience with packages like CausalML, EconML, etc. is a strong plus
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 EMEA region in which we have a work location and is within working hours.
- Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located in that time zone.
- 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.
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - fully paid - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.
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