Spotify

Data Scientist, Strategic Research

Job description

At Spotify Advertising R&D, our 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 our business.


Music and podcasts for everyone, no credit card needed. It’s a promise our platform was built on. And here in the Advertising R&D team, we’re still building on that vision. We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans and we are responsible for the success of Spotify’s freemium business model. We’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art.


We are looking for a Data Scientist to work on our centralized Ads Insights team to surface new opportunities and drive deep understanding of metrics across our R&D organization. In this role, you will study user behavior, pivotal initiatives, revenue opportunities, business models and new features, to bring data and insights into every decision we make for Spotify listeners, creators and advertisers. Learn more about our work by reading this article!


On our Ads Core Insights team, you’ll collaborate with User Researchers, Analytics Engineers, Behavioral Scientists, other Data Scientists and Data Visualization experts to influence the strategy and direction of Spotify ad products. Above all, your work will impact the way the world experiences music and podcasts.


What You'll Do


  • Work closely with cross-functional teams of data scientists, user researchers, product owners, engineers, designers and business and marketing partners, who are passionate about Spotify’s success
  • Perform analyses on large sets of data to extract insights to drive product & business decisions
  • Deliver standardized reporting and dashboards, from design through to delivery and administration
  • Influence strategy by leading foundational research & experimentation initiatives to develop a deeper understanding of our products and our users
  • Work closely with Analytics Engineers to identify upcoming data needs and enhance existing datasets or build new ones to fill those needs
  • Contribute to the development of the wider analytics and data science community at Spotify


Who You Are


  • You have 3+ years experience in a similar data science or analytics role and a degree in economics, computer science, statistics, or mathematics or another quantitative subject areaTechnical and statistical competence to perform sophisticated analytics on datasets with SQL, coding skills (such as Python, Java or Scala), analytics libraries (Pandas/Numpy, Seaborn, Dplyr, GGplot, etc), & other visualization tools (Tableau)
  • You deliver impactful insights from your data to drive action upon your findings and are comfortable managing stakeholders at all levelsYou are an effective communicator who values building strong relationships with colleagues and have the ability to distill sophisticated thoughts into simple, impactful recommendations
  • Exhibit a growth mindset, are quick to learn new methods and are excited by working on a constantly evolving team
  • Thrive in exploratory spaces where problems may lack definition and are able to create a vision and frameworks that guide teams in solving user and business problems effectively
  • Experience in creating and using exploratory dashboards that turn complex data challenges into easy to understand insights
  • Understand the importance of qualitative methodologies in partnership with quantitative methodologies
  • It’s a plus if you have worked in an analytics role within an advertising function


Where You'll Be


  • We are a distributed workforce enabling our band members to find a work mode that is best for them
  • 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.
  • We operate within the Eastern Standard time zone for collaboration

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