Data Scientist

Work as part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence. You will work on advanced and demanding AI fields such as reinforcement learning and LLMs, identifying, understanding, structuring and solving complex problems that deliver measurable value to our business.

What you'll do

• Work as 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 reinforcement learning and LLMs
• 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

What you'll need

• 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 ML 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
• Willingness to dive into our data and get your hands dirty

Nice to have

• 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

What they offer

• Unlimited employment contract, flexible working hours, and 28 vacation days
• Personal learning & development budget as well as German and English language courses
• Company pension plan, partly covered Deutschlandticket, and access to Corporate Benefits voucher platform
• Strong experienced international team of 30+ nationalities with mentoring and smooth onboarding
• Hybrid working policy with modern office near Uhlandstraße in Berlin
• Regular team events and company summer and Christmas parties