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Senior Data Scientist – f/m/d
PAIR FinanceSenior Data Scientist optimizing the innovative product based on machine learning and AI at fintech company. Collaborating with diverse international team in a hybrid working environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying and fine-tuning large language models, with a strong foundation in Python and machine learning frameworks. Capable of automating complex processes and optimizing computational performance while effectively communicating technical concepts to diverse stakeholders.
Highest-signal resume keywords
Large Language Model DeploymentPython ProgrammingData Processing (Pandas, Numpy)Cloud Infrastructure (AWS)Agile Development Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceMachine LearningServer ManagementGPU OrchestrationComputational OptimizationRelational Databases (MySQL, PostgreSQL)Reinforcement LearningPrompt EngineeringContinuous IntegrationAutomating Complex Processes
Soft Skills
Problem SolvingCommunicationCollaboration
Tools & Technologies
PytorchScikit-learnTransformersFlaskFastAPI
Industry Keywords
FintechStartupTDDBDD
Tech Stack
Tools & technologiesAWSCloudFlaskMySQLNumpyOpen SourcePandasPostgresPythonPyTorchScikit-Learn
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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