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Pair

Senior Data Scientist (f/m/d)

Berlin (Hybrid)Hybrid · Germany
Senior · full-time, permanent · AI
POSTED 4 APR 2025
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Role
582 days opentrue age
Posted 4 Apr 2025
Payin text
€76k–104kposted
● 0% vs market median €90k
€76k€108k
Market p25–p75
€90k–€108k
Pair p25–p75
€78k–€102kn=3
Berlin · n=3 · 365d to 6 Nov
CompanyPair →
11open roles
Opened · 30d
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Closed · 30d
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Market
1,755open · Senior Analytics / Data science
All analytics / data science
7,753open
All tracked boards · live 8 Nov · n=1,755
PythonFastAPIPostgreSQLMySQLAWSPyTorchLLMs

Are you ready to change the market?

Are you a passionate and experienced Data Scientist, excited to work on improving and maintaining our data architecture? Join us to become a part of our strong international team that is transforming the traditional debt collection industry with innovation and a drive for excellence.

Your Responsibilities:

  • be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence
  • work on advanced and demanding AI fields such as large language models
  • identify, understand, structure and solve complex problems in a driven and pragmatic manner
  • work on projects that deliver measurable value to our business
  • experiment with new technologies and acquire new skills to find clever solutions to the unique challenges we will encounter along the way
  • communicate between all stakeholders (data scientists, lead developers, product management, business owners) and present technical product concepts

What we're looking for:

  • degree in Data Science, Computer Science, Mathematics or similar
  • 6+ years experience as Data Scientist, ideally in a startup or fintech company
  • extensive and hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation)
  • experience automating complex processes using LLMs, reducing system latency, increasing efficiency, etc.
  • deep knowledge of server management, GPU orchestration, and computational optimization techniques
  • extensive experience with Python and with data processing packages (e.g. Pandas, Numpy) and machine
  • learning frameworks (e.g. pytorch, scikit-learn, transformers)
  • familiarity with web frameworks like Flask or FastAPI
  • deep knowledge of relational databases such as MySQL or PostgreSQL
  • experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc.
  • experience with cloud-based infrastructure solutions, such as AWS
  • experience with reinforcement learning is a strong plus
  • excellent English speaking and writing skills

Our offer for you:

  • For this senior role, our salary band is €76,000 - €103,500 gross per year (based on a 40-hour work week). The exact offer will reflect your experience and qualifications
  • We offer visa sponsorship
  • Thriving, financially stable company
  • Strong experienced international team to support and mentor you along the way, smooth onboarding process
  • International team of 30+ nationalities with professionals and experts
  • Flat hierarchy, transparent and appreciative feedback culture, monthly all hands meetings, annual feedback and evaluation cycle, regular 1-on-1s with your lead
  • Well-structured onboarding process as well as supportive and welcoming colleagues
  • Personal learning & development budget as well as German and English language courses
  • Unlimited employment contract, flexible working hours and 28 vacation days for your work-life balance
  • Company pension plan, partly covered Deutschlandticket (public transport) and access to “Corporate Benefits” voucher platform to ensure your full well-being
  • Fun company summer and Christmas parties as well as regular team events
  • This role is based in Berlin, and we have a hybrid working policy. Modern office near Uhlandstraße is complete with fresh fruit, muesli and drinks for a comfortable and enjoyable workplace

Who is your contact person?

Your contact person for this position is Geneva Brooks. If you have any questions, please contact us directly by email (jobs@pairfinance.com). For more information about PAIR Finance, please take a look at our website and our careers page. We look forward to hearing from you!

Source · PairFirst seen 4 NovOriginal ↗