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2 месяца назад

Data Scientist (AI)

58 000 - 73 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (AI) (Machine Learning/Fintech): Optimizing and maintaining an AI-based product for the debt collection industry with an accent on machine learning, reinforcement learning, Q learning, and measurable business value. Focus on solving complex business problems, experimenting with new technologies, and communicating technical product concepts across data science, engineering, product management, and business teams.

Location: Berlin, Germany (Hybrid)

Salary: €58,000–€73,000 gross per year

Company

hirify.global is transforming the traditional debt collection industry through technology, artificial intelligence, and data-driven products.

What you will do

  • Optimize and maintain an innovative product based on machine learning and artificial intelligence.
  • Develop solutions in advanced AI areas, including reinforcement learning and Q learning.
  • Identify, structure, and solve complex problems with measurable business impact.
  • Experiment with new technologies and develop solutions to unique business challenges.
  • Coordinate communication among data scientists, lead developers, product management, and business owners, and present technical product concepts.

Requirements

  • 2+ years of experience as a Data Scientist.
  • Professional experience with Python, Pandas, NumPy, and relational databases such as MySQL or PostgreSQL.
  • Familiarity with web frameworks such as Flask or FastAPI.
  • A track record of using machine learning to solve business problems.
  • Experience with agile development practices, including TDD/BDD, continuous integration, refactoring, and code reviews.
  • Excellent spoken and written English; hybrid work in Berlin is required.

Nice to have

  • Degree in Data Science, Computer Science, Mathematics, or a related field.
  • Experience with PyTorch, scikit-learn, or Transformers.
  • Hands-on experience deploying open-source LLMs, including hosting, fine-tuning, prompt engineering, and evaluation.
  • Experience with reinforcement learning or AWS cloud infrastructure.

Culture & Benefits

  • International team representing more than 30 nationalities.
  • Flat hierarchy, transparent feedback, regular one-to-ones, and annual evaluations.
  • Structured onboarding with mentoring and supportive colleagues.
  • Personal learning and development budget, plus German and English language courses.
  • Permanent employment contract, flexible working hours, and 28 vacation days.
  • Company pension plan, partially covered Deutschlandticket, corporate benefits, and regular team events.

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