Senior or Staff Data Scientist, Spotify Advertising

New York, NY

Full Time Senior-level / Expert
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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 work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.
We are currently recruiting for a number of data science roles within the multidisciplinary Spotify Ads Insights team. We are looking for experienced and accomplished Data Scientists to join us at the Senior and Staff levels.
Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use the whole range of data science tools and capabilities to conduct analysis related to one or more of the following areas of focus:-User facing advertising product development-Client facing product development for advertisers and publishers-Platform and machine learning engineering performance-Product marketing-Sales and operation-Strategic research

What you'll do

  • Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions
  • Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation
  • Communicate data-driven insights and recommendations to key partners
  • Work closely with cross-functional teams of engineers, user researchers, product owners, designers and business decision makers who are passionate about Spotify’s success
  • Build lasting solutions to surface critical data and performance metrics
  • Help us develop our knowledge and practice around the development and evaluation ML driven and user focused products
  • Develop individually to continue to grow your impact, and help mentor peers and early career colleagues

Who you are

  • You have 5+ years experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject area.
  • Based on your experience and expertise we will match you to one of two levels during the interview process - Senior Data Scientist or Staff Data Scientist. 
  • Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, ML functions, product teams, sales teams or marketing teams and have conducted A/B tests, defined metrics and delivered exploratory analyses.
  • You have the technical competence to perform more advanced analytics:Coding skills for analytics and data extraction (SQL, R, Python, Pandas)Data visualization (such as Tableau, D3, ggplot, Looker)
  • Experience performing analysis with large datasets
  • Strong understanding of statistics and machine learning
  • You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis.
  • You are capable of solving very loosely defined problems.
  • You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms.
  • You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team

Where you'll work

  • 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
  • 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.
Job perks/benefits: Career development
Job region(s): North America
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