
Staff Data Engineer
10 hours ago
We are seeking an experienced Data Scientist to join our team in Stockholm or London. As a Staff Data Scientist, you will play a key role in driving data-informed decisions for Spotify's platform infrastructure. You will be responsible for developing actionable research, identifying improvement opportunities, and influencing the evolution of Spotify's foundational infrastructure.
You will have the opportunity to work on some of the most complex technical challenges at Spotify, leveraging effective and actionable data science. You will collaborate with cross-functional teams to ensure that our platforms are efficient, scalable, and aligned with user and organizational needs.
Responsibilities and Deliverables
- 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.
- 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.
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