Data Scientist - WFH

About the Company

Melotech is a media and entertainment technology company that combines creativity and technology to develop experiences for audiences worldwide. Founded by entrepreneur and investor Soheil Mirpour, the company is backed by Cherry Ventures, Speedinvest, GFC, and investors with experience at organizations including Spotify, Blackstone, and KKR.

Melotech reports that its work has reached audiences for more than three billion minutes worldwide.

About the Role

Melotech is seeking its first dedicated Data Scientist to turn underutilized data into actionable insights that guide business and content decisions. Working autonomously with the founder and wider team, you will investigate cultural trends, audience behavior, content performance, and emerging opportunities across streaming and social media.

You will develop data acquisition methods, conduct statistical analyses, build and deploy machine learning models, and design experiments to support growth decisions. A backend engineer manages data pipelines and infrastructure, allowing you to focus on analysis, modeling, and translating findings into practical recommendations.

This is an early-stage role with significant ownership and the opportunity to influence the company's direction.

Key Responsibilities

• Discover and access new data sources, using creative scraping and data acquisition techniques when standard APIs are insufficient.
• Analyze cultural trends, audience behavior, and content performance across streaming and social platforms to identify underserved categories and potential growth opportunities.
• Translate analytical findings into clear recommendations and propose practical next steps for the business.
• Prototype and deploy machine learning models on AWS for virality prediction and content analysis.
• Monitor deployed models and evaluate their performance and reliability in production.
• Design and analyze A/B tests, holdout studies, and spending experiments across content releases and marketing campaigns.
• Use experimental results to guide campaign decisions and recommend how resources should be allocated.
• Own the dashboards and reports used by leadership to monitor business performance.
• Investigate changes in key metrics to identify the underlying drivers and distinguish meaningful signals from noise.
• Use large language models (LLMs) and agentic coding tools to accelerate data cleaning, analysis, and reporting.
• Collaborate with engineering, product, business, and leadership teams to turn data into decisions.

Required Qualifications

• Degree in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related quantitative field.
• At least three years of hands-on data science experience in a fast-paced business environment.
• Expert-level proficiency in Python and standard data science and machine learning frameworks.
• Strong SQL skills and experience using SQL regularly for analysis.
• Experience acquiring and scraping data from new sources beyond standard APIs.
• Strong statistical knowledge, including experimental design, A/B testing, and causal analysis.
• Experience deploying machine learning models that are used in production and monitoring their performance over time.
• Extensive hands-on experience using LLMs and agentic coding tools in data workflows.
• Ability to translate complex analyses into business recommendations and actionable insights.
• Experience creating reliable dashboards and visualizations using standard data visualization libraries or Tableau.
• Strong collaboration skills and the ability to work effectively across engineering, product, and business teams.
• A persistent, ambitious, and results-oriented approach to problem-solving.
• Ability to thrive in a fast-paced, performance-oriented environment.

Preferred Qualifications

• Experience in a leading consulting firm, a major technology company, a high-growth startup or scale-up, or a leading media organization.
• A strong personal interest in music, video, or social media.
• Location and Work Arrangement Fully remote position, with regular global offsites for team collaboration, planning, and relationship-building.

Compensation and Benefits

• Competitive salary.
• Equity ownership in the business.
• Significant autonomy and responsibility in an early-stage team.
• A flat organizational structure that encourages employees to contribute ideas and influence business decisions.
• Opportunities to shape the company's direction and take ownership of meaningful work.
• Recruitment Process Melotech hires on a rolling basis, with the earliest start date being as soon as possible.
• The process may move from initial interview to offer within one week, depending on candidate availability and progression.
• Initial interview: 30-minute introductory conversation.
• Case interview: 90-minute discussion to present and evaluate analytical and problem-solving skills.
• Founder interview: 90-minute interview with the CEO covering the role and business in greater depth.
• Offer, contract signing, and onboarding.
• As Melotech is currently operating in stealth, further details about the business and role will be shared as candidates progress through the interview stages.
• By the end of the founder interview, candidates are expected to have a full understanding of the business and position.