Dein persönlicher KI-Karriere-Agent
Data Scientist(m/w/x)
Designing scalable data product architecture for Europe's largest savings platform. 5+ years data science and software engineering experience required. Career development support, equal opportunity employment.
Anforderungen
- At least 5 years of data science and software engineering experience
- Experience in dynamic environment with modern tech stack
- Experience in Operations, specifically customer service automations
- Applying machine learning techniques to business problems
- Experience with tabular and natural language data
- Strong command of SQL
- Strong command of Python and its scientific stack
- Good understanding of Software Engineering practices
- Experience with productionizing ML products
- Recent hands-on experience deploying and maintaining AI agent/workflow powered by LLMs
- Experience with LLM SDKs (openai, anthropic, google-genai)
- Experience with prompt engineering frameworks (llama-index, langchain, dspy)
- General understanding of LLMOps principles
- Experience evaluating, testing, versioning, and experimenting prompts
- Experience with LLMOps tools (langsmith, langfuse, arize-phoenix, lunary)
Aufgaben
- Plan and execute service roadmaps
- Design scalable and robust data product architecture
- Research and build data models
- Test and deploy data models
- Monitor product performance metrics
- Make data-driven adjustments to optimize results
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- numpy
- pandas
- matplotlib
- scikit-learn
- LLMs
- openai
- anthropic
- google-genai
- llama-index
- langchain
- dspy
- langsmith
- langfuse
- arize-phoenix
- lunary
Benefits
Sonstige Vorteile
- Equal opportunity employment
Karriere- und Weiterentwicklung
- Career development support
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Data Scientist(m/w/x)
Designing scalable data product architecture for Europe's largest savings platform. 5+ years data science and software engineering experience required. Career development support, equal opportunity employment.
Anforderungen
- At least 5 years of data science and software engineering experience
- Experience in dynamic environment with modern tech stack
- Experience in Operations, specifically customer service automations
- Applying machine learning techniques to business problems
- Experience with tabular and natural language data
- Strong command of SQL
- Strong command of Python and its scientific stack
- Good understanding of Software Engineering practices
- Experience with productionizing ML products
- Recent hands-on experience deploying and maintaining AI agent/workflow powered by LLMs
- Experience with LLM SDKs (openai, anthropic, google-genai)
- Experience with prompt engineering frameworks (llama-index, langchain, dspy)
- General understanding of LLMOps principles
- Experience evaluating, testing, versioning, and experimenting prompts
- Experience with LLMOps tools (langsmith, langfuse, arize-phoenix, lunary)
Aufgaben
- Plan and execute service roadmaps
- Design scalable and robust data product architecture
- Research and build data models
- Test and deploy data models
- Monitor product performance metrics
- Make data-driven adjustments to optimize results
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- numpy
- pandas
- matplotlib
- scikit-learn
- LLMs
- openai
- anthropic
- google-genai
- llama-index
- langchain
- dspy
- langsmith
- langfuse
- arize-phoenix
- lunary
Benefits
Sonstige Vorteile
- Equal opportunity employment
Karriere- und Weiterentwicklung
- Career development support
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Trade Republic
Branche
FinancialServices
Beschreibung
Trade Republic is the largest savings platform in Europe, empowering everyone to build wealth with easy access to financial systems.
Noch nicht perfekt?
- SumUp
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