Junior Data Scientist

Stellenbeschreibung:

Design and build agentic AI systems using frameworks like Pydantic AI
Develop tool registries, prompt engineering, grounding strategies, and orchestration of LLM-based workflows across AI-powered products
Collaborate with Product Managers, Product Designers, and Software Engineers to understand business requirements and translate them into technical specifications
Integrate AI and Data Science features into the platform
Automate data analytics and insights visualizations for non-technical users
Automate advanced market research methods that are easy to use, statistically valid, and scientifically valid
Build and ship supervised, unsupervised, and LLM-based machine learning models end-to-end
Prototype, train, and deploy machine learning models in production
Contribute to AI observability and evaluation practices
Use tools such as Langfuse and inspect-ai to monitor, trace, and improve AI systems in production
Stay current with AI, LLM, and agentic architecture advancements and share insights with colleagues

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
Proficiency with FastAPI, Pydantic/Pydantic AI, Pytest, Pandas, NumPy, and scikit-learn
Experience with LLM integration, such as Azure OpenAI or Anthropic
Experience in the software industry delivering high-quality, scalable services via APIs to production
Ability to write clean, well-tested, and maintainable code
Experience with code reviews, automated testing such as Pytest, and CI/CD practices
Excellent and creative problem-solving skills
Fluency in English with excellent communication skills
Ability to explain complex technical concepts to non-technical audiences and work effectively in cross-functional teams
Nice to have: familiarity with Kubernetes, Helm, and AI observability tooling such as Langfuse and LLM tracing
Nice to have: experience in or passion for market research, marketing, or consumer insights

Core Competencies

Demonstrates expertise in designing and building agentic AI systems, integrating AI and Data Science features, and developing machine learning models end-to-end. Proficient in collaborating with cross-functional teams to translate business requirements into technical specifications while ensuring high-quality code and effective communication.