2 месяца назад
Data Scientist (AI)
58 000 - 73 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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