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1 день назад

Data Scientist (Music & Audio)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (Music & Audio): Extract insights from complex, unstructured cultural data and build ML models and data pipelines with an accent on creative data acquisition, LLM integration, and real-time predictions. Focus on designing innovative scraping techniques, deploying models on AWS, and analyzing trends to influence business strategy.

Location: Remote with offices in Berlin, London, New York, Los Angeles, San Francisco

Company

hirify.global is a fast-growing startup revolutionizing media and entertainment by combining art and technology, backed by top VCs and industry leaders.

What you will do

  • Discover and exploit new data sources using creative scraping techniques
  • Build data processing pipelines for raw, unstructured data
  • Use LLMs and agentic coding tools to accelerate data workflows
  • Deploy ML models on AWS for real-time predictions and content analysis
  • Create dashboards and reports to communicate insights to leadership
  • Analyze trends and audience behavior to guide business decisions

Requirements

  • Remote work with global team and offices in multiple cities
  • 3+ years of data science experience in fast-paced environments
  • Expert Python skills and experience with ML frameworks
  • Experience with scraping, LLMs, and production model deployment
  • Strong collaboration skills and passion for music, video, or social media

Culture & Benefits

  • Early employee with significant impact and equity ownership
  • Flat hierarchies and leadership opportunities
  • Competitive salary and remote work flexibility
  • Global offsites for team bonding and strategy

Hiring process

  • Online assessment including motivational questionnaire and aptitude test
  • Multiple interviews including case study and founder interview
  • Fast hiring process with potential offer within a week

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