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Are you passionate about building impactful AI automation solutions in a collaborative, data-driven environment? Statista is seeking an AI & Automation Developer to design and scale autonomous AI agent networks, optimize data workflows, and elevate analytics capabilities for our global research teams.
Why Statista?
Statista’s Product Division is the engine behind our global platform—combining exclusive primary data, AI-powered analytics, and world-class insights. You’ll collaborate with product managers, analysts, researchers, and data engineers in a flat, agile team environment, driving innovations that redefine industry standards.
What We Offer
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
Why Statista?
- Leading provider of global statistics, insights, and digital content.
- Work with 400+ experts in AI, data engineering, and research.
- Shape production AI tools used by millions of decision-makers worldwide
- Build AI-Powered Tools: Develop Python-based tools and services using modern frameworks (FastAPI, Flask, Langchain, Streamlit, Gradio, Sentence Transformers, G-Eval) that supercharge Statista’s data research and modeling.
- Design Autonomous AI Agents: Create and deploy AI agent networks for complex, large-scale market forecasting (quantitative & qualitative), automating research and analysis pipelines.
- Cloud & API Infrastructure: Architect, deploy, and maintain scalable cloud infrastructure for hosting AI services, agents, and APIs (AWS ECS, EC2, EKS a plus).
- Process Automation: Analyze and optimize data/content workflows, proactively identifying automation opportunities.
- Continuous Learning: Stay at the forefront of AI/ML innovation—adopting new tools, models, and best practices to keep Statista’s tech stack ahead of the curve.
- Python Automation & AI Tools: Experience building production apps with Python, utilizing frameworks like FastAPI/Flask, Langchain, G-Eval, Streamlit/Gradio.
- AI & ML Concepts: Exposure to prompt engineering, Retrieval-Augmented Generation (RAG), foundational models (pros, cons, evaluation), and output assessment.
- Infrastructure: Proficiency with containers (Docker), workflow orchestration (Apache Airflow), and version control (Git)—IaC is a strong plus.
- Cloud: Hands-on with AWS services (ECS, EC2, EKS preferred) and scalable cloud architecture.
- Communication: Excellent written and spoken English; able to explain complex AI concepts to technical and non-technical audiences.
- Experience implementing Infrastructure as Code (e.g., Terraform, CloudFormation).
- Familiarity with advanced MLOps, DevOps, or data engineering practices.
Statista’s Product Division is the engine behind our global platform—combining exclusive primary data, AI-powered analytics, and world-class insights. You’ll collaborate with product managers, analysts, researchers, and data engineers in a flat, agile team environment, driving innovations that redefine industry standards.
What We Offer
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
- Work from abroad 10 days a year (up to 30 if your family lives abroad)
- Hybrid work and flex-time
- International team and social events
- Free access to Perplexity Enterprise Pro and all its amazing functionalities
- Career & training opportunities
- Attractive locations and modern offices
- Mental health support with OpenUp
Key Skills
Ranked by relevance
ai
ai tools
python
cloud
aws
eks
ecs
infrastructure as code
terraform
streamlit
fastapi
docker
devops
apache
flask
mlops
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Login to Apply
- Posted
- Jul 26, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Hamburg
- Company
- Statista
Industries
Technology
Information
Media
Categories
Quality Assurance
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