(Junior) Data Scientist

Quantilope Gmbh·Hybrid (Hamburg) or Remote (Germany)Remotojunior

En corto

→Desarrollas sistemas de IA autónomos (agentic AI) con LLMs para insights de consumidores.
→Trabajas en equipo multidisciplinario para entregar modelos ML y análisis automatizados accesibles a no técnicos.
→Destaca el enfoque en producción, observabilidad (Langfuse) y aplicaciones reales de IA en investigación de mercado.

Fluent in English with excellent communication skills — including the ability to explain c

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¿Qué piden?

✓Título universitario en Ciencias de la Computación, IA, Estadística o áreas afines.
✓Mínimo 1 año de experiencia profesional en Data Science y AI con productos en producción.
✓Experiencia comprobada en sistemas agentic AI o aplicaciones con LLMs (prompt engineering, RAG, tool-use).
✓Dominio de Python y frameworks como Pydantic AI, FastAPI, Pandas, NumPy, scikit-learn.
✓Experiencia real con integración de LLMs (Azure OpenAI, Anthropic, etc.) en entornos productivos.
✓Capacidad para escribir código limpio, testado y mantenido en flujos CI/CD con code reviews.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonPydantic AIFastAPIPytestPandasNumPyscikit-learnAzure OpenAIAnthropicLangfuse

¿A quién escribirle en Quantilope Gmbh?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Introduction: At quantilope, we're transforming how the world's biggest brands understand their customers. As a (Junior) Data Scientist, you'll collaborate closely with Product Managers, Product Designers, and Software Engineers to build and evolve our AI-powered consumer insights platform. From developing agentic AI assistants and advanced analytics to creating innovative research tools usable by non-technical users — you'll be at the heart of scaling a sophisticated platform that puts automated, AI-powered insights into the hands of researchers and brands worldwide. We are looking for a (Junior) Data Scientist who delivers production-grade results to high standards, who combines a passion for the latest AI technologies with the engineering discipline to ship them reliably, and who brings analytical and creative problem-solving to new challenges. Who you are: You have a university degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, Economics or a related relevant field You have at least one year of professional experience in Data Science and AI building production-grade products You have production-level experience building agentic AI systems or LLM-powered applications, including prompt engineering, tool-use patterns, retrieval-augmented generation (RAG), or similar approaches You have strong programming skills in Python and proficiency with relevant frameworks and libraries (e.g., FastAPI, Pydantic/Pydantic AI, Pytest, Pandas, NumPy, scikit-learn) as well as experience with LLM integration (Azure OpenAI, Anthropic, or similar providers) You have experience in the software industry including delivering high-quality, scalable services via APIs to production You write clean, well-tested, and maintainable code — you're comfortable working in a professional codebase with code reviews, automated testing (e.g., Pytest), and CI/CD practices You are an excellent and creative problem solver who is comfortable with ambiguity and change and who is curious to learn new tools, technologies, and domains You are fluent in English with excellent communication skills — including the ability to explain complex technical concepts to non-technical audiences and to work effectively in cross-functional teams Nice to have: Familiarity with cloud-based infrastructure for software deployment (Kubernetes, Helm) and AI observability tooling (Langfuse, LLM tracing) Experience in or passion for the area of market research, marketing, or consumer insights Benefits of working at quantilope: Flexible work environment: With flexible PTO, flexible working hours and remote/hybrid opportunities, we bel

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