Melotech is revolutionizing media and entertainment by extracting insights from hard-to-reach data sources to tackle big questions like identifying emerging cultural trends, predicting virality, and characterizing underserved categories, with the goal of directly influencing the company's success.
Requirements
- 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
Responsibilities
- 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
Other
- 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
- 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
