Data Scientist - Productivity Engineering Insights

New York, NY

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Posted 1 week ago

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
We are looking for an inquisitive Data Scientist to join Spotify’s Productivity Engineering group, the team responsible for enabling every Spotifier to be more productive—anywhere, anytime—with an experience that makes Spotify one of the best places to work. Work From Anywhere is the future of working at Spotify and Productivity Engineering is at the forefront of it. We capture data from our internal tools' usage, our employees and our processes to identify bottlenecks, make Spotify faster, and promote data-informed decisions in the Platform mission. If you are passionate about using data-driven techniques to empower people to be more productive regardless of how and where they work or find the idea of formulating and testing hypotheses around productivity exciting, you’re at the right place! 

What you'll do:

  • Formulate hypotheses related to employee productivity, validate them using relevant datasets and communicate these insights optimally.
  • Work with four different engineering teams to drive data informed decisions around internal tools and processes.
  • Build data pipelines and dashboards to ensure we are always measuring the most relevant and meaningful KPIs
  • Collaborate closely with engineers, data scientists and team leads across the mission to build and promote shared methods to take data advised decisions.
  • Communicate insights and recommendations through clear visualizations and presentations.

Who you are:

  • You have at least 2+ years of experience, with a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area.
  • You have strong interpersonal skills and are comfortable working with multiple partners.
  • You know how to understand and seek loosely defined problems and come up with relevant answers and meaningful insights.
  • Experience visualizing data and/or building dashboards. Natural communicator, who focuses just as much on the delivery and the “so what” of your insights, as you do on the technical craft of extracting them.
  • You have a deep understanding of how to instrument products to accurately capture user and system behaviours.
  • You have the competence to perform advanced analytics.
  • Experience performing analysis with large datasets in a cloud-based data processing environment, such as BigQuery or similar.
  • Analytics tools experience, such as Pandas, R, SQL and Tableau..

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 and is within working hours. 
  • Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located 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.
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.
Job tags: BigQuery Data pipelines Economics Engineering Pandas R SQL Tableau
Job region(s): North America
Job stats:  70  0  0
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