Data Scientist (f/m/d) - #2681668
DevProofs
Date: vor 41 Minuten
Stadt: Berlin
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag
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
Our Offer For You
Your contact person for this position is Geneva Brooks. If you have any questions, please contact us directly by email ([email protected]). For more information about PAIR Finance, please take a look at our website and our careers page. We look forward to hearing from you!
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
- work as part of our Outbound 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 Reinforcement and Q learning
- identify, understand, structure and solve complex problems
- 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 face
- communicate between all stakeholders (data scientists, lead developers, product management, business owners) and present technical product concepts
- 2+ years of experience as a Data Scientist, ideally in a startup or fintech company
- experience with Python and with data processing packages (e.g. Pandas, Numpy)
- familiarity with web frameworks like Flask or FastAPI
- knowledge of relational databases such as MySQL or PostgreSQL
- track-record of successful projects using machine learning to solve business problems
- experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc.
- excellent English speaking and writing skills
- a degree in Data Science, Computer Science, Mathematics or similar
- experience with machine learning frameworks (e.g. pytorch, scikit-learn, transformers)
- hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation)
- experience with Reinforcement Learning
- experience with cloud-based infrastructure solutions, such as AWS
Our Offer For You
- For this mid-level role, our salary band is €58,000 - €73,000 gross per year (based on a 40-hour work week). The exact offer will reflect your experience and qualifications
- Thriving, financially stable company
- Strong experienced international team to support and mentor you along the way, and a 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, and 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
Your contact person for this position is Geneva Brooks. If you have any questions, please contact us directly by email ([email protected]). For more information about PAIR Finance, please take a look at our website and our careers page. We look forward to hearing from you!
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