14 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Data Scientist (AI)
58Β 000 - 73Β 000β¬
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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: β¬58,000ββ¬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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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