
Data Scientist for Platform Development
7 hours ago
The Staff Data Scientist will play a critical role in driving data-informed decisions for Spotify's platform infrastructure. This includes developing actionable research, identifying improvement opportunities, and influencing the evolution of Spotify's foundational infrastructure.
This is an opportunity to work on some of the most complex technical challenges at Spotify, leveraging effective and actionable data science. As a leader and trusted advisor, you will serve as a key partner in integrating data science insights into the development of Spotify's platforms.
Key Responsibilities
- 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.
- 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.
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