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Applied 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
Applied Data Scientist (AI): Building and shipping data- and ML-powered capabilities for a developer experience platform with an accent on practical modeling, experimentation, backend integration, and productization. Focus on evaluating ambiguous opportunities, choosing between ML, analytics, heuristics, and automation, and measuring real-world product impact.

Location: Alicante, Spain (Hybrid)

Company

hirify.global provides a developer experience platform with AI, workflow orchestration, and integrations across desktop, command line, IDE, web, and mobile environments.

What you will do

  • Identify high-value opportunities in product, customer, and operational data.
  • Evaluate ambiguous ideas and determine the fastest credible path to a useful solution.
  • Build practical data, ML, analytics, heuristic, and automation solutions, then refine them based on usage and traction.
  • Own end-to-end execution across data exploration, modeling, experimentation, backend integration, and productization.
  • Partner with engineering, product, design, and leadership to turn ideas into shipped capabilities.
  • Define success metrics, instrument outcomes, and improve solutions that support developer workflows, team velocity, and product experience.

Requirements

  • Senior-level experience in machine learning, applied AI, or a hands-on product data role.
  • Proven experience shipping data- or ML-powered capabilities into products or operational workflows.
  • Ability to work across the stack, including data exploration, production integration, and product delivery.
  • Strong product judgment and ability to choose between ML, rules, analytics, automation, and workflow design.
  • Strong communication skills, ownership, and ability to explain trade-offs to technical and non-technical partners.
  • English proficiency is required.

Nice to have

  • Experience prototyping quickly and refining solutions after launch.
  • Experience building and shipping data- or ML-powered features rather than only producing analyses.
  • Comfort working in a high-ownership, action-oriented environment.

Culture & Benefits

  • Hybrid work environment with modern, fully equipped offices.
  • Flexible paid time off and paid company holidays.
  • Paid parental leave and pet insurance.
  • Health, dental, and vision insurance with employer cost-sharing.
  • Paid career development, audiobook subscriptions, and mentorship.
  • 401(k) retirement plan with company matching, plus company-paid domestic and periodic international trips.

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