(Junior) Data Scientist

quantilope GmbH; Hamburg; Hybrid; EUR 55.000 - 75.000; Vollzeit

Benefits dieser Stelle

Flexible PTO

Remote/hybrid opportunities

Learning budget

Wellness and health insurance

Global mental health days

Team offsites

Zusammenfassung

quantilope GmbH is seeking a (Junior) Data Scientist to design and build agentic AI systems, collaborating with product and engineering teams to deploy AI-powered insights tools for researchers and brands worldwide.

You will automate data analytics, implement advanced market research methods, and ship ML models end-to-end from prototyping to production, while advancing AI observability with Langfuse and InspectAI.

Qualifikationen

• University degree in CS/AI/Statistics/Mathematics/Economics or related field.
• At least one year of professional Data Science/AI experience building production-grade products.
• Experience building agentic AI systems or LLM-powered applications, incl. prompt engineering, tool-use patterns, retrieval-augmented generation (RAG).

Aufgaben

• Design and build agentic AI systems with LLM workflows across multiple AI-powered products.
• Collaborate with cross-functional teams to translate business requirements into technical specs and implement AI features.
• Automate analytics and insights visualizations usable by non-technical users.
• Apply advanced market research methods that are easy to use yet statistically valid.
• Develop ML models end-to-end from prototyping to production deployment.
• Contribute to AI observability using Langfuse and inspect-ai to monitor AI systems.
• Stay up-to-date with AI advancements and share insights with colleagues.

Kenntnisse

Python

FastAPI

Pydantic AI

Pandas

NumPy

scikit-learn

LLM integration

Pytest

CI/CD

English proficiency

Ausbildung

Bachelor's degree in Computer Science / AI / Statistics / Mathematics / Economics

Tools

Azure OpenAI

Anthropic

Langfuse

InspectAI

Kubernetes

Docker

Helm

Jobbeschreibung

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.

What you will be doing:

• You design and build agentic AI systems using frameworks like Pydantic AI, including tool registries, prompt engineering, grounding strategies, and orchestration of LLM-based workflows across multiple AI-powered products
• You closely collaborate with cross-functional teams to understand business requirements, translate them into technical specifications, and work with engineers to integrate AI and Data Science features into our platform
• You automate data analytics and insights visualizations that are applicable and interpretable by non-technical users, helping researchers and brand managers work with advanced methods without needing technical expertise
• You automate the application of advanced market research methods that are easy to use while being statistically and scientifically valid
• You build and ship machine learning models (supervised, unsupervised, LLM-based) end-to-end from prototyping and training to production deployment in our platform
• You contribute to our AI observability and evaluation practices, working with tools like Langfuse and inspect-ai to monitor, trace, and continuously improve our AI systems in production
• You stay up-to-date with the latest advancements in AI, LLMs, and agentic architectures, incorporate them into your work, and proactively share insights and opportunities with colleagues

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 believe you can succeed from anywhere. Did we mention that everyone has the opportunity to work abroad for up to 6 weeks per year?
• Ongoing learning: With our dedicated learning budget for every employee and company-wide workshops with the best in the biz, we believe in providing our employees with all the tools they need to excel
• Wellness is key: We offer Private Health Insurance & Pension plan options as well as the support of certified mental health first aiders. We also have Quantiwell days which are global mental health days twice a year where the whole company takes a day for themselves
• Diverse & inclusive community: Our team spans the globe, driving diverse ways of working and thinking. With the help of an incredible Community Committee, we are committed to advancing education and awareness
• Team bonding: Team offsites, summer and holiday parties? We're all working hard and know how important it is to have fun along the way