Data Scientist, Data Services & Automation

New York, NY

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We are looking for a data scientist to join the band as Data Scientist, Data Services & Automation. This role will be an integral part of the Advertising Sciences team - driving our value proposition with advertisers and agencies by demonstrating the power of Spotify as a media partner. You will be joining our larger Advertising Business Marketing team, communicating the value of Spotify and digital audio to the larger market.
Our mission is to turn data into insights and get a deep understanding of the interplay of advertising, music, podcasts, and audiences. Above all, you will be at the intersection of data science, business, and strategy at one of the most innovative companies in the world.

What You'll Do

  • Contribute to the development of the Advertising Sciences function and the wider analytics community at Spotify
  • Work closely with colleagues in analytics, research, and data science roles to develop new approaches in scaling the business
  • Create insights from large sets of data that will help drive decisions and business performance
  • Build tools and dashboards that help sales, marketing, and analytics teams more easily tap into the large amounts of available data
  • Develop new datasets and design and implement ETL pipelines in SQL and Google BigQuery

Who You Are

  • You have 4+ years of proven experience, with a degree in computer science, statistics, or mathematics or another quantitative field
  • Strong statistical and modeling competence (forecasting, regression modeling, a/b testing, significance testing, etc.) and experience performing analysis with large datasets (experience with machine learning preferred)
  • You are an inherently curious and communicative person that loves to dig into the reasons why, values building positive relationships with co-workers and stakeholders, and has the ability to explain complex topics in simple terms
  • You have the technical competence to perform analytics: data extraction and analytics (advanced SQL and Python capabilities), experience with analytics & visualization libraries (pandas, tidyverse, seaborn, ggplot), strong experience in visualization tools (Tableau preferred)
  • Proficiency in Google App Scripts is a plus
  • Proficiency in Flask is a plus
  • Knowledge of the advertising industry, and/or prior experience in analyzing data for insights or performance in marketing / digital media contexts is a plus

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
  • Working hours? We operate within the Pacific Time zone for collaboration
  • 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.
This position is not eligible to be performed in Colorado.
Job region(s): North America
Job stats:  6  1  0
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