Sr. Data Scientist - Spotify Live
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!
Talk is the team within Spotify responsible for building the best tools for audio creators. We have three platforms that help us deliver a great creator experience: Anchor (the platform that allows you to create, distribute, monetize, and grow a podcast, all for free), Spotify for Podcasters (the platform that makes it easy to understand and engage with your listeners on Spotify, and Spotify Live (the platform that allows anyone to stream or listen to live audio).
We've done a lot already, and we have no plans of slowing down. Come help us build the future of audio creation!
About the Role:
We are looking for a Senior Data Scientist to lead our Live Vertical. You’ll be responsible for setting the insights agenda as well as its execution. You’ll conduct analysis of Live creator behaviors in support of our growing Live products. Example projects include analyzing how Live creators are engaging with our products, defining measures of success, running experiments, and making data-driven recommendations that enable our business & product teams to make quick decisions that delight both our live creators & their audience.
This is an exciting opportunity to work in a brand new & constantly evolving space. You’ll help develop the future of Live on Spotify!
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.
We've done a lot already, and we have no plans of slowing down. Come help us build the future of audio creation!
About the Role:
We are looking for a Senior Data Scientist to lead our Live Vertical. You’ll be responsible for setting the insights agenda as well as its execution. You’ll conduct analysis of Live creator behaviors in support of our growing Live products. Example projects include analyzing how Live creators are engaging with our products, defining measures of success, running experiments, and making data-driven recommendations that enable our business & product teams to make quick decisions that delight both our live creators & their audience.
This is an exciting opportunity to work in a brand new & constantly evolving space. You’ll help develop the future of Live on Spotify!
What you'll do:
- Build & implement the Live insights agenda!
- Develop a deep understanding of the live creator landscape.
- Collaborate with & influence cross-functional insights teams.
- Perform exploratory data analysis on large sets of data to extract practical insights that will help drive product, platform and business decisions.
- Communicate data-driven insights and recommendations to key partners; go beyond observations to concrete insights.
- Work closely with cross-functional teams of engineers, user researchers, product owners, designers and business decision-makers who are passionate about Spotify’s success
- Work closely with the team including data engineering to build lasting solutions to our data modeling.
- Define, evaluate, dashboard and monitor key metrics, understanding root causes of changes.
- Partner with user research to combine qualitative and quantitative insights.
- Mentor and coach other data scientists.
Who you are:
- Build & implement the Live insights agenda!
- Develop a deep understanding of the live creator landscape.
- Collaborate with & influence cross-functional insights teams.
- Perform exploratory data analysis on large sets of data to extract practical insights that will help drive product, platform and business decisions.
- Communicate data-driven insights and recommendations to key partners; go beyond observations to concrete insights.
- Work closely with cross-functional teams of engineers, user researchers, product owners, designers and business decision-makers who are passionate about Spotify’s success
- Work closely with the team including data engineering to build lasting solutions to our data modeling.
- Define, evaluate, dashboard and monitor key metrics, understanding root causes of changes.
- Partner with user research to combine qualitative and quantitative insights.
- Mentor and coach other data scientists.
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
- 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: Data analysis EDA Engineering Research Streaming Testing
Perks/benefits: Career development
Region:
North America
Country:
United States
Job stats:
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Category:
Data Science Jobs
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