Senior Data Scientist - Programming Responsibility (Remote Eligible - Americas)
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!
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a seasoned data scientist to join our Programming Responsibility team where your work will help Spotify to improve the quality of our recommended content and help our teams to comply with our policies and principles.
We are looking for someone with a strong background in statistics modeling and significant breadth and depth of statistics/ML knowledge. Great skills in risk evaluation metrics development is a must as is significant experience in data ecosystems and data collection strategies.
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 345 million users.
We are looking for a seasoned data scientist to join our Programming Responsibility team where your work will help Spotify to improve the quality of our recommended content and help our teams to comply with our policies and principles.
We are looking for someone with a strong background in statistics modeling and significant breadth and depth of statistics/ML knowledge. Great skills in risk evaluation metrics development is a must as is significant experience in data ecosystems and data collection strategies.
Who You Are:
- 5+ years of professional experience in applied research and statistical modeling related to recommendations and content programming.
- Significant expertise in experimentation methodologies.
- Significant breadth and depth of statistics/ML knowledge.
- You’re a fantastic communicator and can work cross-functionally with technical stakeholders.
- You bring passion and playfulness to your work and those around you.
What You'll Do:
- Perform advanced analytics using your coding skills (such as R, Python, or Scala)
- Utilize analytics and visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent) to present insights to business partners.
- Work with large datasets in Spotify's data ecosystem.
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.
- Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone.
- 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 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 345 million users.
Tags: Machine Learning Matplotlib Python R Research Scala SQL Statistical modeling Statistics Streaming Tableau
Regions:
Remote/Anywhere
North America
Country:
United States
Job stats:
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Categories:
Big Data Jobs
Data Science Jobs
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