Associate Data Scientist - Creator Economics

New York City

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Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

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We are looking for a Data Scientist to join the Creator Economics team within the Music Mission Business group. The Creator Economics team uses the science of Economics to shape strategy and products to improve Spotify’s business while strengthening creator sustainability. The team accomplishes this mission by combining the marketplace incentive structure of creators & intermediate agents (labels, publishers, governmental organizations and regulatory bodies) with internal and external data to test empirical hypotheses and build algorithmic measurement of performance indicators to improve the Creator Marketplace tools/services.
In this role, using our petabytes of data, you will help build data products and surface insights to understand connections between artists and listeners and track the performance of our products and their impact on artists’ careers. You will join a centralized Economics team of researchers and data scientists to build algorithmic insights and novel research.
In addition to possessing a strong technical background, you value communication and will work to translate economic insights into actionable narratives for business, science, and engineering teams. You will also have a strong preference for learning and applying causal inference and other Econometric & Machine Learning statistical techniques. Accompanying this broad set of responsibilities is exposure to many functional areas, as well as senior management, across Spotify.

What you'll do:

  • Own the building and reporting on Worldwide music industry Economic trends.
  • Design, build, maintain and iterate on a suite of data products to enable insights and track metrics measuring the health of our creator tools
  • You will define events, build pipelines and tools together with the data science community when appropriate.
  • Work closely with PhD level researchers and business leaders to scale econometric analyses for use in internal data products and business applications.
  • Communicate data-driven insights and recommendations to key partners through clear visualizations and presentations.

Who you are:

  • You have some work experience in either data science/analytics or economic consulting.
  • You have a bachelor/masters degree in Economics, Finance, Statistics, Computer Science, Math or another quantitative subject field.
  • You are excited about solving business problems. You seek them out, and bring out the right tool once found, as opposed to orienting your search around the tools you know.
  • You have proven experience analyzing and summarizing complex data using modern SQL dialects.
  • Professional and/or academic experience using data to influence business/policy is a plus.
  • Familiarity with Google Cloud Platform (Big Query) is highly preferred.
  • You have experience with scripting languages like Python or R.
  • Python is highly preferred.
  • You are excited to work primarily with and learn from PhD economists, and collaborate cross-functionally with other disciplines (business, product, user research, etc.)
  • You have prior experience with data visualization and are excited to build dashboards (Tableau preferred)
  • You are comfortable working with distributed teams across multiple offices and timezones.
  • You are a communicative person that values building strong relationships with colleagues and partners and have the ability to explain complex topics in simple terms.

Where you'll be:

  • We are a distributed workforce enabling our band members to find a work mode 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 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This role is not eligible for hire in Colorado, USA.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: BigQuery Causal inference Computer Science Consulting Data visualization Economics Engineering Finance GCP Google Cloud Machine Learning PhD Pipelines Python R Research SQL Statistics Streaming Tableau Testing

Perks/benefits: Home office stipend Team events

Region: North America
Country: United States
Job stats:  25  7  0
Category: Data Science Jobs

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