Data Scientist, Creator Promotion

New York, NY

Applications have closed

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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The Marketplace team builds Spotify's content platform and creator products. Our content platform ingests, understands, and safeguards the world's audio. Our creator products - Spotify for Artists, Soundtrap, and SoundBetter - enable artists and their teams to create music, connect with collaborators, and grow & monetize their audience.
Central to the Marketplace team’s vision is the development of promotion tools for artists and labels powered by Spotify’s deep knowledge of listener preferences and behaviors. We’re looking for a Data Scientist to join the Creator Studio team dedicated to growing our products that help artists get their music into the ears of existing and potential fans.
In this role, you will partner with product teams to build the technology that makes this a reality by accounting for a complex set of artist needs, preferences, and goals. You will tackle complex problems to develop a behavioral understanding of customer needs, as well as to forecast and predict the value that our tools deliver to them & Spotify. In doing so, you will have a proven impact on bringing Spotify’s two-sided marketplace vision to life.
As part of the Product Insights team, you will partner with data engineers, product teams, and designers to help us define the next generation of promotion products for the music industry. You’ll also be connected to the broader Spotify insights community to expand the influence of your team's work.

What you'll do:

  • Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop the next generation of promotion tools for artists.
  • Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully.
  • Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights to improve and expand our products.
  • Define the metrics and dashboards we use to measure the health and success of our products.
  • Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.
  • Maintain a culture of rigor and data-informed decision-making to drive tangible business impact.

Who you are:

  • 3+ years of demonstrated ability in a similar data scientist role.
  • Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
  • You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
  • You have experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
  • You have hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau.
  • Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
  • You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.

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 our teammates are comfortable working within the hours of 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 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 Computer Science Economics Mathematics Python R SQL Statistical modeling Statistics Streaming Tableau Testing

Perks/benefits: Career development Home office stipend

Region: North America
Country: United States
Job stats:  6  2  0
Category: Data Science Jobs

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