(Junior) Data Scientist

quantilope

10d•Hybrid

About The Position

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.

Requirements

University degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, Economics or a related relevant field.
At least one year of professional experience in Data Science and AI building production-grade products.
Production-level experience building agentic AI systems or LLM-powered applications, including prompt engineering, tool-use patterns, retrieval-augmented generation (RAG), or similar approaches.
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).
Experience in the software industry including delivering high-quality, scalable services via APIs to production.
Write clean, well-tested, and maintainable code — comfortable working in a professional codebase with code reviews, automated testing (e.g., Pytest), and CI/CD practices.
Excellent and creative problem solver who is comfortable with ambiguity and change and who is curious to learn new tools, technologies, and domains.
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 Haves

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.

Responsibilities

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.
Collaborate closely 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.
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.
Automate the application of advanced market research methods that are easy to use while being statistically and scientifically valid.
Build and ship machine learning models (supervised, unsupervised, LLM-based) end-to-end — from prototyping and training to production deployment in our platform.
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.
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.