Junior Data Scientist

Jobtailor; Hamburg; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Jobtailor in Hamburg is seeking a skilled AI Engineer to design and build agentic AI systems, integrate data science features, and deploy ML models end-to-end. You will work with product managers and engineers to translate requirements into robust technical specs and production-grade APIs.

Responsibilities include developing tool registries, prompt engineering, and monitoring with Langfuse/Inspect-ai, while staying at the forefront of AI architectures and market research integration.

Qualifikationen

• University degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, Economics or related 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, incl. prompt engineering, tool-use patterns, retrieval-augmented generation (RAG)
• 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

Aufgaben

• 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 translate business requirements 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 Langfuse and inspect-ai to monitor, trace, and improve AI systems in production
• Stay current with AI/LLM/agentic architecture advancements and share insights

Kenntnisse

Python

Agentic AI

ML deployment

Prompt engineering

Data science

Ausbildung

Bachelor's degree in Computer Science / AI

Tools

Pydantic AI

FastAPI

Pytest

Pandas

NumPy

Scikit-learn

Langfuse

Inspect-ai

Azure OpenAI

Anthropic

Kubernetes

Helm

Jobbeschreibung

• 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.

Highest-signal resume keywords

• Python Programming
• Agentic AI Systems Development
• Machine Learning Model Deployment
• Prompt Engineering
• Data Science Integration

ATS Optimization Keywords

Hard Skills

• Pydantic AI
• FastAPI
• Pytest
• Pandas
• NumPy
• Scikit-learn
• LLM Integration
• Automated Testing
• CI/CD Practices
• Statistical Analysis

Soft Skills

• Creative Problem-Solving
• Effective Communication
• Cross-Functional Collaboration

Industry Keywords

• AI Systems
• Data Science
• Market Research
• Consumer Insights
• Production-Grade Products

Tools & Technologies

• Langfuse
• Inspect-ai
• Azure OpenAI
• Anthropic
• Kubernetes
• Helm