Extract insights from hard-to-reach data sources to tackle cultural trends
Discover and exploit new, untapped data sources through creative scraping techniques
Build data processing pipelines from scratch to handle raw, unstructured data
Use LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
Spin up EC2 instances for real-time data collection and automated scraping operations
Prototype and deploy ML models on AWS for real-time predictions and content analysis
Create custom dashboards and reports to communicate insights to leadership
Analyze trends, audience behavior, and performance metrics to guide business decisions

Degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field
3+ years of 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

Data Science, Music & Audio

Key skills