Data Scientist

MeloTech; New York (NY); Remote; USD 110,000 - 180,000; Full time

Benefits offered by this job

Equity

Remote work

Job summary

Melotech in the United States is seeking its first dedicated Data Scientist to turn messy, unstructured data into actionable insights. You will work directly with the founder and a backend engineer, focusing on data sources, trends, and model prototyping for virality and content analysis.

You will own dashboards, run A/B tests, and design experiments to guide strategy. The role values autonomy, curiosity, and a blend of technical rigor with creative problem solving, with equity and remote work

Qualifications

• 3+ years hands-on data science in fast-paced business environments.
• Python expert-level proficiency and SQL daily usage.
• Experience scraping and acquiring raw data from new sources.
• Experience deploying models in production and keeping them honest.

Responsibilities

• Discover and open untapped data sources with creative scraping and acquisition techniques.
• Analyze trends, audiences and performance to identify underserved categories and opportunities.
• Prototype and deploy ML models on AWS for virality prediction and content analysis.
• Design and read A/B tests, holdouts and experiments across campaigns and releases.
• Own dashboards and reports leadership runs on and investigate drivers of key metrics.

Skills

Python

SQL

Data analysis

Experimentation

Machine learning

Education

Degree in Data Science, Statistics, Computer Science, Physics, Math or related quantitative field

Tools

AWS

Tableau

Web scraping

LLMs

Job description

Who we are

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 3 billion minutes worldwide.

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

What you will do

Join us as our first dedicated Data Scientist to bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what characterizes an underserved category? 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. On a typical day, your tasks may include:

• New data sources: discovering and opening up untapped sources, with creative scraping and acquisition techniques when standard APIs run out

• Trends and audiences: analyzing trends, audience behavior and performance across streaming and social to find the underserved categories and the next growth opportunity, and proposing the next step

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

• Experiments: designing and reading A/B tests, holdouts and spend experiments across our releases 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

Who you are

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 by finding creative ways to access hard-to-reach data and translating 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 scraped and acquired raw data from new sources, building creative solutions to reach datasets beyond standard APIs

• 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

What makes this exciting

You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate.

We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together.

What the process will look like

We hire on a rolling basis. Earliest starting date is always ASAP.

Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage:

1. Initial interview: 30-minute introductory call, getting to know you

2. Case interview: 90-minute case discussion, present and debate your skills

3. Founder interview: 90-minute interview with our CEO, going deep on all topics

4. Offer, contract signing and onboarding

Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.