About the job
Who We Are
At Melotech, we are transforming the landscape of media and entertainment through innovative technology. Our creations have captivated audiences worldwide, accumulating over 3 billion minutes of engagement within just two years. Founded by visionary entrepreneur Soheil Mirpour, we enjoy robust backing from prominent venture capitalists including Cherry Ventures, Speedinvest, and GFC, as well as esteemed angel investors from industry giants like Spotify, Blackstone, and KKR.
Your Role
We invite you to become our pioneering Data Scientist, charged with organizing and interpreting the complexities of cultural data. You will uncover insights from unconventional data sources to answer pivotal questions: What emerging cultural trends are being overlooked? How can we forecast viral success? What elements define an underserved category? Working autonomously alongside our founder and team, your findings will directly impact our strategic direction. On any given day, your responsibilities may include:
Identifying and utilizing new, previously inaccessible data sources through innovative scraping techniques
Developing data processing pipelines from the ground up to manage raw, unstructured data
Leveraging LLMs and advanced coding tools to streamline data cleaning and analysis processes
Launching EC2 instances for real-time data aggregation and automated scraping tasks
Prototyping and deploying machine learning models on AWS for immediate predictions and content evaluation
Crafting tailored dashboards and reports to convey insights effectively to leadership
Evaluating trends, audience engagement, and performance metrics to inform strategic business decisions
Who You Are
We seek experienced data scientists who recognize that true influence stems from transforming chaotic, unstructured data into pivotal insights that guide business strategy. You are not just a model builder; you are a problem solver who creatively accesses elusive data and translates statistical results into actionable plans. Your qualifications typically include:
A degree in Data Science, Statistics, Computer Science, Physics, Mathematics, or related quantitative field
3+ years of practical data science experience in dynamic business settings, including Tier 1 consultancy, major tech firms, high-growth startups, or media industry leaders
Proficient in Python and data manipulation libraries

