
Data Scientist
2 days ago
As a Staff Data Scientist at Spotify, 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. Your primary focus will be on Spotify's platforms for data and security.
This is an opportunity to work on some of the most complex technical challenges at Spotify, leveraging effective and actionable data science. As a key member of the team, you will collaborate with cross-functional teams to ensure that our platforms are efficient, scalable, and aligned with user and organizational needs.
Responsibilities
- Analyze large datasets to identify bottlenecks and propose 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.
Requirements
- 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.
Note: This job description may be subject to change based on business requirements.
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