Data Scientist, Advertising Economics

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!

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At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business.
At Spotify Advertising, our mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the product for our business.
The Ads Economics team is looking for an experienced data scientist to help build and maintain econometric data and models in Spotify Advertising. We use the science of Economics to shape strategy and products. We do foundational causal inference research and work closely with business leaders to inform business decision making through data and science.
In this role, you will help build data products and surface insights to understand connections between advertisers and listeners, perform causal analysis, and estimate impact of our ad products. You will join a centralized Economics team of researchers and data scientists to build algorithmic insights and novel research. If this sounds interesting, please apply!

What You'll Do

  • Lead data science solutions from end to end
  • Deliver with independence on challenging large-scale problems with complexity and ambiguity
  • Write code (Python, R, SQL, etc.) to obtain, manipulate, and analyze large dataBuild econometric/ML models and design experiments to solve specific business problems
  • Communicate data-driven insights and recommendations to key partners
  • Work closely cross-functional team of economists, engineers, product owners, and business decisions makers

Who You Are

  • You have experience in a similar data science role and a degree in economics, statistics, or similar quantitative subject areas
  • You are comfortable building complex and big datasets and maintaining them
  • You have the technical competence to perform more advanced analytics using your coding skills for analytics and data extraction (such as SQL, Python, R)
  • You have experience in causal inference and experimental designBroad knowledge of ML methods, statistical analysis, and problem-solving skills
  • You have built statistical models with proven business impact
  • You are able to explain complex concepts to non-technical stakeholders and conduct deep discussion with engineers

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
  • 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
#remote
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.
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.

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

Tags: Causal inference Economics Machine Learning ML models Python R Research SQL Statistics Streaming Testing

Region: North America
Country: United States
Job stats:  10  1  0
Category: Data Science Jobs

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