Data Scientist

Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide.

Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speed invest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.

Join us as our first dedicated Data Scientist to bring order to the chaos of culture. You'll turn raw, messy data into insights to tackle the big questions:
What cultural trends are emerging that everyone else is missing? What separates the work that breaks through from the work that does not? And where are audiences underserved? We sit on a lot of data we do not use yet, and you are the person who turns it into decisions. You work fully autonomously alongside our founder and the team, next to a backend engineer who owns the pipelines and infrastructure, so your time goes into the questions rather than the plumbing.

We will walk you through exactly what we are building as you go through the process. On a typical day, your tasks may include:

• New data sources: finding and opening up new sources that help us make better decisions

• Trends and audiences: analyzing trends, audience behavior and performance to find the next growth opportunity, and proposing the next step

• Prediction: prototyping and deploying ML models on AWS for forecasting and content analysis, and checking whether they hold up in production

• Experiments: designing and reading A/B tests, holdouts and spend experiments across our products and campaigns, and telling the team where the next dollar should go

• Numbers people trust: owning the dashboards and reports leadership runs on, and investigating what really drives a metric when it moves

• AI-native workflows: using LLMs and agentic coding tools to accelerate data cleaning, analysis and reporting

We look for battle-tested data scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You don't just build models: you solve business problems and translate statistical findings into actions the team takes.

Typically, your profile will look like this:

• Background: a degree in Data Science, Statistics, Computer Science, Physics, Math or a related quantitative field

• Experience: 3 or more years of hands-on data science in fast-paced business environments, at Tier 1 consultancies, Big Tech, high-growth start-ups and scale-ups, or media industry leaders

• Python: expert-level proficiency with the standard data science and ML frameworks, and SQL as a daily tool

• Data acquisition: you have brought new raw data sources into use and made them reliable enough to decide on

• Statistical rigour: you design and read experiments properly, you know when a signal is noise, and you have run A/B tests or causal analyses that changed a decision

• Models in production: you have deployed models that people actually used, and you know what it takes to keep them honest over time

• AI-native: extensive hands-on experience with agentic coding tools and LLMs in your data workflows

• From data to decision: you find the opportunity in the data and propose the next step, and your dashboards and visualizations (standard libraries or Tableau) are the ones leadership trusts

• Collaboration: you work well across engineering, product and business teams, and colleagues would describe you as hard-working, ambitious and persistent

• Pace: you thrive in a fast-paced and performance-oriented environment

• A big plus: you're obsessed with music, video or social media

You are one of the first employees of an…