Senior Data Scientist, Creator Studio

New York City

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!

View company page

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 Senior Data Scientist to join theCreator 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

  • Gain a deep understanding of how products and platforms influence user behavior by extracting insights from rich datasets to drive the Creator Studio roadmap.
  • Apply understanding of advanced machine learning practices to enhance product performance.
  • 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 and data engineers to help inform, build and test hypotheses delivering actionable insights to fuel our products.
  • Define the metrics we use to measure the health of initiatives and track them through dashboards.
  • Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company who are passionate about our marketplace.
  • Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.
  • Be an advocate for data-informed decision-making, making recommendations about the product performance and product experience available to the Marketplace organization.

Who you are

  • 4+ years of demonstrated ability in a similar data scientist role.
  • Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
  • Significant experience with advanced statistical methods and machine learning.
  • Significant experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
  • Previous experience working with a team of data scientists and data engineers building machine learning tools in production and at scale.
  • 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.
  • Comfortable working with distributed teams across multiple offices and timezones.
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 320 million users.

Tags: BigQuery Computer Science Economics Machine Learning Mathematics Python R SQL Statistics Streaming Tableau

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  22  1  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.