Data Scientist - AI Foundations
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The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and audiobooks 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 Data Scientist to join the AI Foundations team to evaluate generative AI models and their impact on users. You will collaborate with cross-functional teams of engineers, research scientists, product managers, and tech leads to ensure that we are making product and technology decisions grounded in data. In this role, you will bring a deep understanding of user behavior into the development and evaluation of Spotify’s foundational AI products.
What You'll Do
Perform analyses on AI models and user behavior to help drive strategic and product decisions
Define and report on key performance metrics to measure the health and success of our products
Design and analyze experiments and perform causal inference when A/B testing is not an option
Contribute to novel methodologies for AI model evaluation and measurement, including offline evaluation and LLM-as-a-judge techniques
Communicate complex technical findings to diverse stakeholders
Who You Are
You have experience in a hands-on data science role, preferably in an AI or ML team
You have the technical competence to perform advanced analytics: coding skills (Python or R), experience with analytics and visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets, including the use of AI tools for data science
Strong communication and presentation skills, with an emphasis on storytelling with data
You are a self-driven person who’s capable of tackling loosely defined problems and driving strategic impact
Excited to be at the forefront of Spotify’s AI-first product evolution, with a focus on innovation, iteration, and impact
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $110,018 - $157,169 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
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.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
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.
Seniority level Seniority level Entry level
Employment type Employment type Full-time
Job function Job function Engineering and Information Technology
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- Location:
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- Salary:
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- Job Type:
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