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Data Scientist in Platform Engineering
2 weeks ago
Job Description
We are seeking a highly skilled Data Scientist to join our Platform Mission team at Spotify. As a Staff Data Scientist, 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.
This is an opportunity to work on some of the most complex technical challenges at Spotify, leveraging effective and actionable data science.
- 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.