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3 месяца назад

Product Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Product Data Scientist (AI): Analyze and measure the performance of AI agents and product features to drive improvements in enterprise AI workforce orchestration. With an accent on experimental design, causal inference, and large-scale data analysis. Focus on designing and interpreting A/B tests, building statistical models, and delivering actionable insights to product and ML teams.

Location: Hybrid in Barcelona, Spain

Company

hirify.global is a high-growth AI startup building infrastructure for enterprises to autonomously run operations with AI workers, backed by top investors including a16z and Y Combinator.

What you will do

  • Define and track product, feature, and agent-level metrics.
  • Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.
  • Measure AI agent performance impact on client outcomes like task completion and operational efficiency.
  • Conduct deep analyses of conversations, workflows, and product usage to identify opportunities and explain performance differences.
  • Build statistical models, simulations, and analytical frameworks to support product and ML decisions.
  • Partner with Engineering to improve data quality, instrumentation, and experimentation systems.

Requirements

  • Location: Hybrid work in Barcelona, Spain
  • 4+ years experience in Data Science, Product Analytics, or similar quantitative roles.
  • Strong skills in experimental design, A/B testing, statistics, causal inference, SQL, and Python.
  • Experience defining and operationalizing product and feature metrics.
  • Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations.
  • Strong communication skills and experience collaborating with Product, Engineering, and ML teams.

Nice to have

  • Experience with large language models, AI agents, generative AI, or probabilistic ML products.
  • Familiarity with ML evaluation systems and connecting offline evaluations with online metrics.
  • Experience analyzing conversational, NLP, speech, or unstructured data.
  • Experience with enterprise or B2B products and combining quantitative with qualitative analysis methods.
  • Prior experience in fast-growing startups or ambiguous environments.

Culture & Benefits

  • Work at a high-growth AI startup backed by top investors including a16z, Y Combinator, and Base10.
  • Ownership and autonomy to ship projects quickly.
  • Competitive salary plus equity.
  • Comprehensive healthcare, dental, and vision coverage.
  • Collaborate with a world-class team of engineers and builders.
  • Operating principles emphasize extreme ownership, craftsmanship, urgency with focus, talent density, meritocracy, and first-principles thinking.

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