About the job
About Us
At Melotech, we are at the forefront of transforming the media and entertainment landscape. Our innovative approach combines art and technology, enabling audiences around the globe to immerse themselves in experiences that have collectively reached over 3 billion minutes of engagement in just two years. Founded by visionary entrepreneur Soheil Mirpour and supported by premier venture capitalists like Cherry Ventures, Speedinvest, and GFC, as well as influential figures from major firms such as Spotify, Blackstone, and KKR, we are poised to lead the next wave of cultural evolution.
Your Role
As a Data Science Intern, you will play a pivotal role in untangling the complexities of cultural data. Your insights will help us uncover emerging trends, predict viral phenomena, and identify underserved market segments. Working independently alongside our founder and a dynamic team, your contributions will directly shape our strategic decisions. On a typical day, you can expect to:
Innovate new data sourcing methods using advanced scraping techniques
Develop robust data processing pipelines to manage raw, unstructured information
Leverage LLMs and cutting-edge coding tools to streamline data cleaning and analysis
Initiate EC2 instances for real-time data gathering and automated scraping tasks
Prototype and deploy machine learning models on AWS for immediate insights and content evaluation
Craft custom dashboards and reports to present your findings to key stakeholders
Analyze audience trends and performance metrics to influence critical business decisions
Candidate Profile
We are seeking aspiring Data Scientists who recognize that impactful insights emerge from transforming chaotic, unstructured data into strategic business intelligence. You are not just a model builder; you are a problem solver who creatively accesses difficult data sources and translates statistical insights into actionable plans. Ideal candidates will possess:
Enrolled in or recent graduate of a degree program in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related quantitative field
Practical experience in data science within fast-paced business environments, including Tier 1 consulting, major tech companies, or prominent media organizations
Proficiency in Python, with a solid understanding of data science libraries and frameworks
