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PAPAIR Finance GmbH

Data Scientist(m/w/x)

Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Optimizing debt collection product with ML and AI, including reinforcement learning and LLMs. 2+ years Data Scientist experience required. Unlimited contract, 28 vacation days.

Requirements

  • 2+ years Data Scientist experience
  • Startup or fintech experience
  • Python and data processing packages experience
  • Web frameworks familiarity
  • Relational databases knowledge
  • Successful ML projects track-record
  • Agile development practices experience
  • Excellent English speaking and writing skills
  • Willingness to dive into data
  • Degree in Data Science, Computer Science, Mathematics or similar
  • Machine learning frameworks experience
  • LLM deployment hands-on experience
  • Reinforcement Learning experience
  • Cloud-based infrastructure solutions experience

Tasks

  • Optimize our product using machine learning and artificial intelligence
  • Work on advanced AI fields like reinforcement learning and LLMs
  • Identify, understand, and structure complex problems
  • Solve complex problems
  • Deliver measurable business value through projects
  • Experiment with new technologies
  • Acquire new skills to solve unique challenges
  • Communicate with all stakeholders
  • Present technical product concepts

Work Experience

  • 2 - 5 years

Education

  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Pandas
  • Numpy
  • Flask
  • FastAPI
  • MySQL
  • PostgreSQL
  • pytorch
  • scikit-learn
  • transformers
  • AWS

Benefits

Job Security

  • Unlimited employment contract
  • Thriving, financially stable company

Flexible Working

  • Flexible working hours

Informal Culture

  • Experienced international team
  • International team of 30+ nationalities
  • Flat hierarchy
  • Transparent feedback culture
  • Appreciative feedback culture
  • Supportive colleagues
  • Welcoming colleagues

Other Benefits

  • Smooth onboarding process

Team Events

  • Monthly all-hands meetings
  • Company summer parties
  • Company Christmas parties
  • Regular team events

Career Advancement

  • Annual feedback and evaluation cycle

Mentorship & Coaching

  • Regular 1-on-1s with lead

Learning & Development

  • Personal learning & development budget
  • German language courses
  • English language courses

Retirement Plans

  • Company pension plan

Public Transport Subsidies

  • Partly covered Deutschlandticket

Corporate Discounts

  • Access to Corporate Benefits voucher platform
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of PAIR Finance GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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