The Role
As a Staff Data Scientist in Spotify’s Platform Mission, you will play a critical role in driving data-informed decisions for our platform infrastructure. You will develop actionable research, identify improvement opportunities, and influence the evolution of Spotify’s foundational infrastructure. You will primarily (but not exclusively) focus on Spotify’s platforms for data and security. Collaborating with cross-functional teams, you will ensure that our platforms are efficient, scalable, and aligned with user and organizational needs.
This is an opportunity to work on some of the most complex technical challenges at Spotify, leveraging effective and actionable data science.
What You'll Do
- Analyze large datasets to identify bottlenecks and propose actionable solutions to improve platform performance.
- Develop recommendations to optimize Spotify’s platform performance, reliability, and scalability.
- Collaborate with engineering and product teams to integrate data science insights into the development of Spotify’s platforms.
- Define and measure key performance metrics for platform reliability, scalability, and efficiency.
- Partner with leadership to identify high-impact opportunities and prioritize data science projects that drive platform innovation.
- Serve as a leader and trusted advisor for data science applications in platform development.
- Communicate complex technical findings to diverse stakeholders, including executives and non-technical teams.
- Provide technical mentorship to data scientists and analysts within the team.
- Advocate for best practices in data science, including reproducibility, and ethical AI considerations.
- Explore cutting-edge technologies and methodologies to enhance Spotify’s platform capabilities.
- Stay informed on trends in data science, distributed systems, and cloud computing to influence the company’s long-term platform strategy.
Who You Are
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a similar field.
- 8+ years of experience in data science, machine learning, or applied statistics, with a focus on large-scale systems or infrastructure.
- Proficiency in relevant tools such as Python, R, or BigQuery, and experience with distributed computing.
- Comfort with machine learning frameworks and statistical modeling techniques.
- Outstanding problem-solving skills with the ability to tackle ambiguous technical challenges.
- Strong communication and presentation skills, with an emphasis on storytelling with data. Leadership and collaboration skills, with a proven ability to influence cross-functional teams.
- Preferred qualifications: deep understanding of platform infrastructure (including distributed systems, cloud platforms, and SRE principles), proven track record of deploying data science solutions in production environments at scale, experience working with time-series data, anomaly detection, and forecasting in operational systems, familiarity with Google Cloud Platform (GCP).
Where You'll Be
- This role is based in Stockholm or London.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.
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.
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What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
