Data Scientist

Summary

Melotech is revolutionizing media and entertainment by creating art through technology for humans to enjoy. The company is seeking its first dedicated Data Scientist to analyze hard-to-reach data, identify cultural and audience trends, build production ML models, design experiments, and provide trusted dashboards and insights that guide business decisions.

Responsibilities

• 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

Skills

• 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 the standard data science and ML frameworks, and SQL as a daily tool
• You have scraped and acquired raw data from new sources, building creative solutions to reach datasets beyond standard APIs
• 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
• You have deployed models that people actually used, and you know what it takes to keep them honest over time
• Extensive hands-on experience with agentic coding tools and LLMs in your data workflows
• 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
• You work well across engineering, product and business teams, and colleagues would describe you as hard-working, ambitious and persistent
• You thrive in a fast-paced and performance-oriented environment
• You're obsessed with music, video or social media

Qualifications

Must Haves

• 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 the standard data science and ML frameworks, and SQL as a daily tool
• you have scraped and acquired raw data from new sources, building creative solutions to reach datasets beyond standard APIs
• 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
• you have deployed models that people actually used, and you know what it takes to keep them honest over time
• extensive hands-on experience with agentic coding tools and LLMs in your data workflows
• 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
• you work well across engineering, product and business teams, and colleagues would describe you as hard-working, ambitious and persistent
• you thrive in a fast-paced and performance-oriented environment

Nice to Haves

• you're obsessed with music, video or social media

Benefits

• Equity, making you an owner of the business
• Remote work with complete freedom over your life
• Regular global offsites to strategize, bond, and push boundaries together