Data Science Intern, Music & Audio

Join us as Data Scientist Intern to bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what factors characterize an underserved category? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:

• Discovering and exploiting new, untapped data sources through creative scraping techniques
• Building data processing pipelines from scratch to handle raw, unstructured data
• Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
• Spinning up EC2 instances for real-time data collection and automated scraping operations
• Prototyping and deploying ML models on AWS for real-time predictions and content analysis
• Creating custom dashboards and reports to communicate insights to leadership
• Analyzing trends, audience behavior, and performance metrics to guide business decisions

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Who you are

We look for upcoming Data Scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You're someone who doesn't just build models, you solve complex business problems by finding creative ways to access hard-to-reach data and translate statistical findings into actionable strategies. Typically, your profile will look like this:

• Pursuing degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field
• Hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders
• Expert-level Python proficiency with standard data science and ML frameworks
• Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach datasets beyond standard APIs
• Extensive hands-on experience with agentic coding tools and LLMs for data workflows
• Production model deployment experience including infrastructure and monitoring
• Advanced data visualization skills using standard libraries or Tableau
• Strong collaboration skills across engineering, product, and business teams
• You thrive in a fast-paced and performance-oriented environment
• Colleagues would describe you as hard-working, ambitious and persistent
• You’re obsessed with music, video or social media