Data Science Intern, Music & Audio
Melotech
•
San Francisco, CA
0
0
0
0
Not Applicable
Posted April 4, 2026
2 variants
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Responsibilities
Commitments
Responsibilities
- Join us as Data Scientist Intern to bring order to the chaos of culture.
- Discovering and exploiting new, untapped data sources through creative scraping techniques
- Building data processing pipelines from scratch to handle raw, unstructured data
- Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
- Spinning up EC2 instances for real-time data collection and automated scraping operations
- Prototyping and deploying ML models on AWS for real-time predictions and content analysis
- Creating custom dashboards and reports to communicate insights to leadership
- Analyzing trends, audience behavior, and performance metrics to guide business decisions
Commitments
You’re obsessed with music, video or social media
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.
We hire on a rolling basis.
The 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
Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
Initial interview: 30-minute introductory call - getting to know you
Take-home case study: Real-world project - showcase your skills and working style
Case interview: 90-minute case discussion - present and debate your results with a team member
Founder interview: 90-minute interview with our CEO - going deep on all topics
Team interview: Individual or group interview with other team members - depending on position
Offer, contract signing and onboarding
Not Met Priorities
What still needs stronger evidence
Requirements
- Building data processing pipelines from scratch to handle raw, unstructured data
- Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
- Hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders
- Expert-level Python proficiency with standard data science and ML frameworks
- Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach datasets beyond standard APIs
- Extensive hands-on experience with agentic coding tools and LLMs for data workflows
- Production model deployment experience including infrastructure and monitoring
- Advanced data visualization skills using standard libraries or Tableau
- Strong collaboration skills across engineering, product, and business teams
- You thrive in a fast-paced and performance-oriented environment
- Colleagues would describe you as hard-working, ambitious and persistent
Preferred Skills
- Hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders
- Extensive hands-on experience with agentic coding tools and LLMs for data workflows
- Production model deployment experience including infrastructure and monitoring
Education
- (Not required) – Pursuing degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field
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 Data Scientist Intern 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 factors characterize an underserved category? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:
Discovering and exploiting new, untapped data sources through creative scraping techniques
Building data processing pipelines from scratch to handle raw, unstructured data
Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
Spinning up EC2 instances for real-time data collection and automated scraping operations
Prototyping and deploying ML models on AWS for real-time predictions and content analysis
Creating custom dashboards and reports to communicate insights to leadership
Analyzing trends, audience behavior, and performance metrics to guide business decisions
Who You Are
We look for upcoming Data Scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You're someone who doesn't just build models, you solve complex business problems by finding creative ways to access hard-to-reach data and translate statistical findings into actionable strategies. Typically, your profile will look like this:
Pursuing degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field
Hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders
Expert-level Python proficiency with standard data science and ML frameworks
Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach datasets beyond standard APIs
Extensive hands-on experience with agentic coding tools and LLMs for data workflows
Production model deployment experience including infrastructure and monitoring
Advanced data visualization skills using standard libraries or Tableau
Strong collaboration skills across engineering, product, and business teams
You thrive in a fast-paced and performance-oriented environment
Colleagues would describe you as hard-working, ambitious and persistent
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. The 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
Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
Initial interview: 30-minute introductory call - getting to know you
Take-home case study: Real-world project - showcase your skills and working style
Case interview: 90-minute case discussion - present and debate your results with a team member
Founder interview: 90-minute interview with our CEO - going deep on all topics
Team interview: Individual or group interview with other team members - depending on position
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.
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 Data Scientist Intern 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 factors characterize an underserved category? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:
Discovering and exploiting new, untapped data sources through creative scraping techniques
Building data processing pipelines from scratch to handle raw, unstructured data
Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
Spinning up EC2 instances for real-time data collection and automated scraping operations
Prototyping and deploying ML models on AWS for real-time predictions and content analysis
Creating custom dashboards and reports to communicate insights to leadership
Analyzing trends, audience behavior, and performance metrics to guide business decisions
Who You Are
We look for upcoming Data Scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You're someone who doesn't just build models, you solve complex business problems by finding creative ways to access hard-to-reach data and translate statistical findings into actionable strategies. Typically, your profile will look like this:
Pursuing degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field
Hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders
Expert-level Python proficiency with standard data science and ML frameworks
Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach datasets beyond standard APIs
Extensive hands-on experience with agentic coding tools and LLMs for data workflows
Production model deployment experience including infrastructure and monitoring
Advanced data visualization skills using standard libraries or Tableau
Strong collaboration skills across engineering, product, and business teams
You thrive in a fast-paced and performance-oriented environment
Colleagues would describe you as hard-working, ambitious and persistent
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. The 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
Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
Initial interview: 30-minute introductory call - getting to know you
Take-home case study: Real-world project - showcase your skills and working style
Case interview: 90-minute case discussion - present and debate your results with a team member
Founder interview: 90-minute interview with our CEO - going deep on all topics
Team interview: Individual or group interview with other team members - depending on position
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.