Data Scientist
Melotech
RELISTED
Seniority
Midweight
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
Join as the 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?
What you'll do
- Discover and open up untapped data sources, with creative scraping and acquisition techniques when standard APIs run out
- Analyze trends, audience behavior and performance across streaming and social to find the underserved categories and the next growth opportunity, and propose the next step
- Prototype and deploy ML models on AWS for virality prediction and content analysis, and check whether they hold up in production
- Design and read A/B tests, holdouts and spend experiments across releases and campaigns, and tell the team where the next dollar should go
- Own the dashboards and reports leadership runs on, and investigate what really drives a metric when it moves
- Use LLMs and agentic coding tools to accelerate data cleaning, analysis and reporting
What you'll need
- A degree in Data Science, Statistics, Computer Science, Physics, Math or a related quantitative field
- 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
- Expert-level proficiency with Python, standard data science and ML frameworks, and SQL as a daily tool
- Experience scraping and acquiring raw data from new sources, building creative solutions to reach datasets beyond standard APIs
- Ability to design and read experiments properly, know when a signal is noise, and have run A/B tests or causal analyses that changed a decision
- Deployed models that people actually used, and know what it takes to keep them honest over time
- Extensive hands-on experience with agentic coding tools and LLMs in your data workflows
- Track record of finding opportunity in data and proposing the next step, with dashboards and visualizations that leadership trusts
Nice to have
- Obsession with music, video or social media
What they offer
- Competitive salary with equity as an owner of the business
- Remote work with global offsites for strategy and team building
- Early-stage impact shaping company trajectory

